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Publications of year 2003

Books and proceedings

  1. N. Ayache and H. Delingette, editors. Proceedings of the International Symposium on Surgery Simulation and Soft Tissue Modeling, volume 2673 of Lecture Notes in Computer Science, Juan-les-Pins, France, June 2003. Springer. 
    @proceedings{IS4TM:03,
address = {Juan-les-Pins, France},
editor = {N. Ayache and H. Delingette},
month = {June},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Proceedings of the International Symposium on Surgery Simulation and Soft Tissue Modeling},
volume = {2673},
year = {2003} 
}


Thesis

  1. Clément Forest. Simulation de chirurgie par coelioscopie : contributions à l'étude de la découpe volumique, au retour d'effort et à la modélisation des vaisseaux sanguins. PhD thesis, École Polytechnique, March 2003. 
    @phdthesis{Forest:Thesis:03,
author = {Cl\'ement Forest},
month = {March},
school = {\'Ecole Polytechnique},
title = {Simulation de chirurgie par coelioscopie : contributions \`a l'\'etude de la d\'ecoupe volumique, au retour d'effort et \`a la mod\'elisation des vaisseaux sanguins},
url = {https://www-sop.inria.fr/asclepios/Publications/Forest/These_forest.pdf},
url-publisher = {http://www.inria.fr/rrrt/tu-0776.html},
year = {2003} 
}


  2. Sébastien Granger. Une approche statistique multi-échelle au recalage rigide de surfaces : Application à l'implantologie dentaire. Thèse de sciences, Ecole des Mines de Paris, April 2003. Keyword(s): surface, registration, statistics, multi-scale, validation, ICP, EM, odontology, oriented points, saliency, tensor-voting, computer-guided surgery.
    Abstract:
    The main subject of this work is the rigid registration of surfaces dedicated to VirtualScope, a per-operative guiding system designed for oral implants surgery. It is based on a purely statistical approach. We first show how to compute and maximize a likelihood, based on a model of the data noise, for the landmarks registration problem. This approach justifies the use of the ICP algorithm, and a new multi-scale variant named ICP/EM, which improves accuracy, speed and robustness. We introduce new noise models specifically designed for the registration of sampled and noised surfaces. We discuss about the theoretical prediction of the registration accuracy, and use it for guiding the data acquisition. We analyze in detail the experimental performances of the algorithm, and provide methods for setting optimally the parameters and ensuring the correctness of registration results. The resulting algorithm is perfectly suited to the VirtualScope application. The second part of this work deals with the more general problem of the statistical modelisation of sampled and noised curves and surfaces. Based on previous works on Saliency and Tensor Voting notions, it defines a vote field that represent the probability of a curve or surface element, knowing another element. We provide basic yet easy to implement examples of such a field, which can handle the surface shape, the sampling strategy and the measurement errors. We apply them successfully to the registration problem, and suggest to use them to derive Bayesian methods to virtually all other computer vision problems involving sampled and noised curves and surfaces. This work could lead to the design of a common statistical and multi-scale framework for these various methods. 

    @phdthesis{granger:these:2003,
abstract = {The main subject of this work is the rigid registration of surfaces dedicated to VirtualScope, a per-operative guiding system designed for oral implants surgery. It is based on a purely statistical approach. We first show how to compute and maximize a likelihood, based on a model of the data noise, for the landmarks registration problem. This approach justifies the use of the ICP algorithm, and a new multi-scale variant named ICP/EM, which improves accuracy, speed and robustness. We introduce new noise models specifically designed for the registration of sampled and noised surfaces. We discuss about the theoretical prediction of the registration accuracy, and use it for guiding the data acquisition. We analyze in detail the experimental performances of the algorithm, and provide methods for setting optimally the parameters and ensuring the correctness of registration results. The resulting algorithm is perfectly suited to the VirtualScope application. The second part of this work deals with the more general problem of the statistical modelisation of sampled and noised curves and surfaces. Based on previous works on Saliency and Tensor Voting notions, it defines a vote field that represent the probability of a curve or surface element, knowing another element. We provide basic yet easy to implement examples of such a field, which can handle the surface shape, the sampling strategy and the measurement errors. We apply them successfully to the registration problem, and suggest to use them to derive Bayesian methods to virtually all other computer vision problems involving sampled and noised curves and surfaces. This work could lead to the design of a common statistical and multi-scale framework for these various methods.},
author = {S\'ebastien Granger},
keywords = {surface, registration, statistics, multi-scale, validation, ICP, EM, odontology, oriented points, saliency, tensor-voting, computer-guided surgery},
month = {April},
ps = {https://www-sop.inria.fr/asclepios/Publications/Xavier.Pennec/Granger_These.ps.gz},
school = {Ecole des Mines de Paris},
title = {Une approche statistique multi-\'echelle au recalage rigide de surfaces : Application \`a l'implantologie dentaire},
type = {Th\`ese de sciences},
url = {https://www-sop.inria.fr/asclepios/Publications/Xavier.Pennec/Granger_These.pdf},
year = {2003} 
}


  3. Alain Pitiot. Segmentation automatique des structures cérébrales s'appuyant sur des connaissances explicites. Thèse de sciences, École des mines de Paris, November 2003. 
    @phdthesis{Pitiot:PhD:2003,
author = {Alain Pitiot},
hal-identifiant = {pastel-00001346},
month = {November},
school = {\'Ecole des mines de Paris},
title = {Segmentation automatique des structures c\'er\'ebrales s'appuyant sur des connaissances explicites},
type = {Th\`ese de sciences},
url = {https://www-sop.inria.fr/asclepios/Publications/Pitiot/pitiot-thesis-2003.pdf},
url-hal = {http://hal.inria.fr/pastel-00001346/en/},
year = {2003} 
}


  4. M. Sermesant. Modèle électromécanique du coeur pour l'analyse d'image et la simulation (Electromechanical Model of the Heart for Image Analysis and Simulation). PhD thesis, Université de Nice Sophia Antipolis, May 2003. 
    @phdthesis{Sermesant:Thesis:03,
author = {M. Sermesant},
month = {May},
postscript = {ftp://ftp.inria.fr/INRIA/publication/Theses/TU-0808.ps.gz},
school = {Universit\'e de Nice Sophia Antipolis},
title = {Mod\`ele \'electrom\'ecanique du coeur pour l'analyse d'image et la simulation (Electromechanical Model of the Heart for Image Analysis and Simulation)},
url = {https://www-sop.inria.fr/asclepios/Publications/Maxime.Sermesant/theseMaximeSermesant.pdf},
url-publisher = {http://www.inria.fr/rrrt/tu-0808.html},
year = {2003} 
}


  5. Jonathan Stoeckel. Outils de classification pour l'aide au diagnostic : application à la maladie d'Alzheimer et à d'autres pathologies cérébrales. Thèse de sciences, Ecole des Mines de Paris, March 2003. 
    @phdthesis{stoeckel:these:2003,
author = {Jonathan Stoeckel},
month = {March},
school = {Ecole des Mines de Paris},
title = {Outils de classification pour l'aide au diagnostic : application \`a la maladie d'Alzheimer et \`a d'autres pathologies c\'er\'ebrales},
type = {Th\`ese de sciences},
url-publisher = {http://www.inria.fr/rrrt/tu-0773.html},
year = {2003} 
}


Articles in journal, book chapters

  1. N. Ayache. Epidaure: a Research Project in Medical Image Analysis, Simulation and Robotics at INRIA. IEEE Transactions on Medical Imaging, 22(10):1185-1201, October 2003. 
    @article{Ayache-edito-TMI03,
author = {N. Ayache},
journal = {IEEE Transactions on Medical Imaging},
month = {October},
number = {10},
pages = {1185--1201},
postscript = {https://www-sop.inria.fr/asclepios/Publications/Ayache/Ayache-editorial-ieee-tmi.ps.gz},
title = {Epidaure: a Research Project in Medical Image Analysis, Simulation and Robotics at INRIA},
url = {https://www-sop.inria.fr/asclepios/Publications/Ayache/Ayache-editorial-ieee-tmi.pdf},
volume = {22},
year = {2003} 
}


  2. Pierre-Yves Bondiau, Grégoire Malandain, Pierre Chauvel, Frédérique Peyrade, Adel Courdi, Nicole Iborra, Jean-Pierre Caujolle, and Pierre Gastaud. Automatic three-dimensional model for protontherapy of the eye: Preliminary results. Medical Physics, 30(6):1013-1020, June 2003.
    Abstract:
    Recently, radiotherapy possibilities have been dramatically increased by software and hardware developments. Improvements in medical imaging devices have increased the importance of three-dimensional (3D) images as the complete examination of these data by a physician is not possible. Computer techniques are needed to present only the pertinent information for clinical applications. We describe a technique for an automatic 3D reconstruction of the eye and CT scan merging with fundus photographs (retinography). The final result is a "virtual eye" to guide ocular tumor protontherapy. First, we make specific software to automatically detect the position of the eyeball, the optical nerve, and the lens in the CT scan. We obtain a 3D eye reconstruction using this automatic method. Second, we describe the retinography and demonstrate the projection of this modality. Then we combine retinography with a reconstructed eye, using a CT scan to get a virtual eye. The result is a computer 3D scene rendering a virtual eye into a skull reconstruction. The virtual eye can be useful for the simulation, the planning, and the control of ocular tumor protontherapy. It can be adapted to treatment planning to automatically detect eye and organs at risk position. It should be highlighted that all the image processing is fully automatic to allow the reproduction of results, this is a useful property to conduct a consistent clinical validation. The automatic localization of the organ at risk in a CT scan or an MRI by automatic software could be of great interest for radiotherapy in the future for comparison of one patient at different times, the comparison of different treatments centers, the possibility of pooling results of different treatments centers, the automatic generation of doses-volumes histograms, the comparison between different treatment planning for the same patient and the comparison between different patients at the same time. It will also be less time consuming. 

    @article{bondiau-malandain-al:mp:2003,
abstract = {Recently, radiotherapy possibilities have been dramatically increased by software and hardware developments. Improvements in medical imaging devices have increased the importance of three-dimensional (3D) images as the complete examination of these data by a physician is not possible. Computer techniques are needed to present only the pertinent information for clinical applications. We describe a technique for an automatic 3D reconstruction of the eye and CT scan merging with fundus photographs (retinography). The final result is a "virtual eye" to guide ocular tumor protontherapy. First, we make specific software to automatically detect the position of the eyeball, the optical nerve, and the lens in the CT scan. We obtain a 3D eye reconstruction using this automatic method. Second, we describe the retinography and demonstrate the projection of this modality. Then we combine retinography with a reconstructed eye, using a CT scan to get a virtual eye. The result is a computer 3D scene rendering a virtual eye into a skull reconstruction. The virtual eye can be useful for the simulation, the planning, and the control of ocular tumor protontherapy. It can be adapted to treatment planning to automatically detect eye and organs at risk position. It should be highlighted that all the image processing is fully automatic to allow the reproduction of results, this is a useful property to conduct a consistent clinical validation. The automatic localization of the organ at risk in a CT scan or an MRI by automatic software could be of great interest for radiotherapy in the future for comparison of one patient at different times, the comparison of different treatments centers, the possibility of pooling results of different treatments centers, the automatic generation of doses-volumes histograms, the comparison between different treatment planning for the same patient and the comparison between different patients at the same time. It will also be less time consuming.},
author = {Pierre-Yves Bondiau and Gr\'egoire Malandain and Pierre Chauvel and Fr\'ed\'erique Peyrade and Adel Courdi and Nicole Iborra and Jean-Pierre Caujolle and Pierre Gastaud},
journal = {Medical Physics},
month = {June},
number = {6},
pages = {1013-1020},
title = {Automatic three-dimensional model for protontherapy of the eye: Preliminary results},
volume = {30},
year = {2003} 
}


  3. Pascal Cachier, Eric Bardinet, Didier Dormont, Xavier Pennec, and Nicholas Ayache. Iconic Feature Based Nonrigid Registration: The PASHA Algorithm. Computer Vision and Image Understanding, 89(2-3):272-298, Feb.-march 2003. Note: Special Issue on Nonrigid Registration. Keyword(s): registration, matching, similarity measures, deformations. 
    @article{Cachier:CVIU:03,
author = {Pascal Cachier and Eric Bardinet and Didier Dormont and Xavier Pennec and Nicholas Ayache},
doi = {10.1016/S1077-3142(03)00002-X},
journal = {Computer Vision and Image Understanding},
keywords = {registration, matching, similarity measures, deformations},
month = {Feb.-march},
note = {Special Issue on Nonrigid Registration},
number = {2-3},
pages = {272--298},
title = {Iconic Feature Based Nonrigid Registration: The PASHA Algorithm},
url = {https://www-sop.inria.fr/asclepios/Publications/Cachier/Cachier_CVIU_2003.pdf},
volume = {89},
year = {2003} 
}


  4. Olivier Clatz, Hervé Delingette, Eric Bardinet, Didier Dormont, and Nicholas Ayache. Création d'un Modèle Biomécanique Spécifique du Cerveau par l'Analyse d'Images et son Application à la Neurochirurgie Stéréotaxique. Mécanique et Industrie, 4(4):429-433, 2003. Note: Numéro spécial CFM 2003. 
    @article{Clatz:Mec_et_ind:03,
author = {Olivier Clatz and Herv\'e Delingette and Eric Bardinet and Didier Dormont and Nicholas Ayache},
journal = {M\'ecanique et Industrie},
note = {Num\'ero sp\'ecial CFM 2003},
number = {4},
pages = {429--433},
publisher = {Elsevier},
title = {Cr\'eation d'un Mod\`ele Biom\'ecanique Sp\'ecifique du Cerveau par l'Analyse d'Images et son Application \`a la Neurochirurgie St\'er\'eotaxique},
url = {https://www-sop.inria.fr/asclepios/Publications/Herve.Delingette/TI-CFM03-clatz.pdf},
volume = {4},
year = {2003} 
}


  5. P Hellier, C Barillot, I Corouge, B Gibaud, G Le Goualher, D L Collins, A Evans, G Malandain, N Ayache, G E Christensen, and H J Johnson. Retrospective evaluation of intersubject brain registration. IEEE Transactions on Medical Imaging, 22(9):1120-30, September 2003.
    Abstract:
    Although numerous methods to register brains of different individuals have been proposed, no work has been done, as far as we know, to evaluate and objectively compare the performances of different nonrigid (or elastic) registration methods on the same database of subjects. In this paper, we propose an evaluation framework, based on global and local measures of the relevance of the registration. We have chosen to focus more particularly on the matching of cortical areas, since intersubject registration methods are dedicated to anatomical and functional normalization, and also because other groups have shown the relevance of such registration methods for deep brain structures. Experiments were conducted using 6 methods on a database of 18 subjects. The global measures used show that the quality of the registration is directly related to the transformation's degrees of freedom. More surprisingly, local measures based on the matching of cortical sulci did not show significant differences between rigid and non rigid methods. 

    @article{hellier:tmi:2003,
abstract = {Although numerous methods to register brains of different individuals have been proposed, no work has been done, as far as we know, to evaluate and objectively compare the performances of different nonrigid (or elastic) registration methods on the same database of subjects. In this paper, we propose an evaluation framework, based on global and local measures of the relevance of the registration. We have chosen to focus more particularly on the matching of cortical areas, since intersubject registration methods are dedicated to anatomical and functional normalization, and also because other groups have shown the relevance of such registration methods for deep brain structures. Experiments were conducted using 6 methods on a database of 18 subjects. The global measures used show that the quality of the registration is directly related to the transformation's degrees of freedom. More surprisingly, local measures based on the matching of cortical sulci did not show significant differences between rigid and non rigid methods.},
author = {P Hellier and C Barillot and I Corouge and B Gibaud and Le Goualher, G and D L Collins and A Evans and G Malandain and N Ayache and G E Christensen and H J Johnson},
hal-identifiant = {inria-00536383},
journal = {IEEE Transactions on Medical Imaging},
month = {September},
number = {9},
pages = {1120-30},
title = {Retrospective evaluation of intersubject brain registration},
url = {https://www-sop.inria.fr/asclepios/Publications/Gregoire.Malandain/hellier-tmi-2003.pdf},
url-hal = {http://hal.inria.fr/inria-00536383/en/},
volume = {22},
year = {2003} 
}


  6. Ferath Kherif, Jean-Baptiste Poline, Sébastien Meriaux, Habib Benali, Guillaume Flandin, and Matthew Brett. Group analysis in functional neuroimaging: selecting subjects using similarity measures. NeuroImage, 20(4):2197-2208, December 2003. Keyword(s): fMRI, Group analysis, Multivariate analysis, Statistical analysis.
    Abstract:
    Standard group analyses of fMRI data rely on spatial and temporal averaging of individuals. This averaging operation is only sensible when the mean is a good representation of the group. This is not the case if subjects are not homogeneous, and it is therefore a major concern in fMRI studies to assess this group homogeneity. We present a method that provides relevant distances or similarity measures between temporal series of brain functional images belonging to different subjects. The method allows a multivariate comparison between data sets of several subjects in the time or in the space domain. These analyses assess the global intersubject variability before averaging subjects and drawing conclusions across subjects, at the population level. We adapt the RV coefficient to measure meaningful spatial or temporal similarities and use multidimensional scaling to give a visual representation of each subject's position with respect to other subjects in the group. We also provide a measure for detecting subjects that may be outliers. Results show that the method is a powerful tool to detect subjects with specific temporal or spatial patterns, and that, despite the apparent loss of information, restricting the analysis to a homogeneous subgroup of subjects does not reduce the statistical sensitivity of standard group fMRI analyses. 

    @article{Kherif:NeuroImage:03,
abstract = {Standard group analyses of fMRI data rely on spatial and temporal averaging of individuals. This averaging operation is only sensible when the mean is a good representation of the group. This is not the case if subjects are not homogeneous, and it is therefore a major concern in fMRI studies to assess this group homogeneity. We present a method that provides relevant distances or similarity measures between temporal series of brain functional images belonging to different subjects. The method allows a multivariate comparison between data sets of several subjects in the time or in the space domain. These analyses assess the global intersubject variability before averaging subjects and drawing conclusions across subjects, at the population level. We adapt the RV coefficient to measure meaningful spatial or temporal similarities and use multidimensional scaling to give a visual representation of each subject's position with respect to other subjects in the group. We also provide a measure for detecting subjects that may be outliers. Results show that the method is a powerful tool to detect subjects with specific temporal or spatial patterns, and that, despite the apparent loss of information, restricting the analysis to a homogeneous subgroup of subjects does not reduce the statistical sensitivity of standard group fMRI analyses.},
author = {Ferath Kherif and Jean-Baptiste Poline and S\'ebastien Meriaux and Habib Benali and Guillaume Flandin and Matthew Brett},
hal-identifiant = {cea-00371054},
journal = {NeuroImage},
keywords = {fMRI, Group analysis, Multivariate analysis, Statistical analysis},
month = {December},
number = {4},
pages = {2197--2208},
title = {Group analysis in functional neuroimaging: selecting subjects using similarity measures},
url-hal = {http://hal.inria.fr/cea-00371054/en/},
volume = {20},
year = {2003} 
}


  7. Pierre-Jean Lahaye, Jean-Baptiste Poline, Guillaume Flandin, Silke Dodel, and Line Garnero. Functional connectivity: studying nonlinear, delayed interactions between BOLD signals. NeuroImage, 20(2):962-974, October 2003. Keyword(s): fMRI. 
    @article{Lahaye:NeuroImage:03,
author = {Pierre-Jean Lahaye and Jean-Baptiste Poline and Guillaume Flandin and Silke Dodel and Line Garnero},
journal = {NeuroImage},
keywords = {fMRI},
month = {October},
number = {2},
pages = {962--974},
title = {Functional connectivity: studying nonlinear, delayed interactions between BOLD signals},
volume = {20},
year = {2003} 
}


  8. J. Montagnat, M. Sermesant, H. Delingette, G. Malandain, and N. Ayache. Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images. Pattern Recognition Letters, 24(4-5):815-828, February 2003. Note: Special Issue on Ultrasonic Image Processing and Analysis. Keyword(s): anisotropic diffusion, 4D, Heart, segmentation, ultrasound, medical images, motion tracking. 
    @article{Montagnat:PattRecLetters:03,
author = {J. Montagnat and M. Sermesant and H. Delingette and G. Malandain and N. Ayache},
journal = {Pattern Recognition Letters},
keywords = {anisotropic diffusion, 4D, Heart, segmentation, ultrasound, medical images, motion tracking},
month = {February},
note = {Special Issue on Ultrasonic Image Processing and Analysis},
number = {4-5},
pages = {815--828},
postscript = {https://www-sop.inria.fr/asclepios/Publications/Maxime.Sermesant/PRL2003Sermesant.ps.gz},
title = {Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images},
url = {https://www-sop.inria.fr/asclepios/Publications/Maxime.Sermesant/PRL2003Sermesant.pdf},
volume = {24},
year = {2003} 
}


  9. Xavier Pennec, Pascal Cachier, and Nicholas Ayache. Tracking Brain Deformations in Time-Sequences of 3D US Images. Pattern Recognition Letters, 24(4-5):801-813, February 2003. Note: Special Issue on Ultrasonic Image Processing and Analysis. Keyword(s): registration, matching, ultrasound, motion tracking, deformations. 
    @article{Pennec:Cachier:PattRecLetters:03,
author = {Xavier Pennec and Pascal Cachier and Nicholas Ayache},
doi = {10.1016/S0167-8655(02)00183-6},
journal = {Pattern Recognition Letters},
keywords = {registration, matching, ultrasound, motion tracking, deformations},
month = {February},
note = {Special Issue on Ultrasonic Image Processing and Analysis},
number = {4-5},
pages = {801--813},
title = {Tracking Brain Deformations in Time-Sequences of 3D US Images},
url = {https://www-sop.inria.fr/asclepios/Publications/Xavier.Pennec/Pennec.Cachier.Ayache.PattRecLetters02.pdf},
volume = {24},
year = {2003} 
}


  10. G. Picinbono, H. Delingette, and N. Ayache. Non-Linear Anisotropic Elasticity for Real-Time Surgery Simulation. Graphical Models, 65(5):305-321, September 2003. Keyword(s): journal, simulation. 
    @article{Picinbono:GraphMod:03,
author = {G. Picinbono and H. Delingette and N. Ayache},
journal = {Graphical Models},
keywords = {journal, simulation},
month = {September},
number = {5},
pages = {305--321},
title = {Non-Linear Anisotropic Elasticity for Real-Time Surgery Simulation},
url = {https://www-sop.inria.fr/asclepios/Publications/Herve.Delingette/Picinbono-GM03.pdf},
volume = {65},
year = {2003} 
}


  11. Maxime Sermesant, Clément Forest, Xavier Pennec, Hervé Delingette, and Nicholas Ayache. Deformable biomechanical models: Application to 4D cardiac image analysis. Medical Image Analysis, 7(4):475-488, December 2003. 
    @article{Sermesant:Media:03,
author = {Maxime Sermesant and Cl\'ement Forest and Xavier Pennec and Herv\'e Delingette and Nicholas Ayache},
doi = {10.1016/S1361-8415(03)00068-9},
journal = {Medical Image Analysis},
month = {December},
number = {4},
pages = {475--488},
pmid = {14561552},
title = {Deformable biomechanical models: Application to 4D cardiac image analysis},
url = {https://www-sop.inria.fr/asclepios/Publications/Herve.Delingette/Sermesant-Media03.pdf},
url-publisher = {http://authors.elsevier.com/sd/article/S1361841503000689},
volume = {7},
year = {2003} 
}


  12. J. Yelnik, P. Damier, S. Demeret, D. Gervais, E. Bardinet, B.P. Bejjani, C. Francois, J.L. Houeto, I. Arnule, D. Dormont, D. Galanaud, B. Pidoux, P. Cornu, and Y. Agid. Localization of stimulating electrodes in patients with Parkinson disease by using a three-dimensional atlas-magnetic resonance imaging coregistration method. Journal of Neurosurgery, 99(1):89-99, July 2003.
    Abstract:
    OBJECT: The aim of this study was to correlate the clinical improvement in patients with Parkinson disease (PD) treated using deep brain stimulation (DBS) of the subthalamic nucleus (STN) with the precise anatomical localization of stimulating electrodes. METHODS: Localization was determined by superimposing figures from an anatomical atlas with postoperative magnetic resonance (MR) images obtained in each patient. This approach was validated by an analysis of experimental and clinical MR images of the electrode, and the development of a three-dimensional (3D) atlas-MR imaging coregistration method. The PD motor score was assessed through two contacts for each of two electrodes implanted in 10 patients: the "therapeutic contact" and the "distant contact" (that is, the next but one to the therapeutic contact). Seventeen therapeutic contacts were located within or on the border of the STN, most of which were associated with significant improvement of the four PD symptoms tested. Therapeutic contacts located in other structures (zona incerta, lenticular fasciculus, or midbrain reticular formation) were also linked to a significant positive effect. Stimulation applied through distant contacts located in the STN improved symptoms of PD, whereas that delivered through distant contacts in the remaining structures had variable effects ranging from worsening of symptoms to their improvement. CONCLUSIONS: The authors have demonstrated that 3D atlas-MR imaging coregistration is a reliable method for the precise localization of DBS electrodes on postoperative MR images. In addition, they have confirmed that although the STN is the main target during DBS treatment for PD, stimulation of surrounding regions, particularly the zona incerta or the lenticular fasciculus, can also improve symptoms of PD. 

    @article{Yelnik:JNeuroSurg:03,
abstract = {OBJECT: The aim of this study was to correlate the clinical improvement in patients with Parkinson disease (PD) treated using deep brain stimulation (DBS) of the subthalamic nucleus (STN) with the precise anatomical localization of stimulating electrodes. METHODS: Localization was determined by superimposing figures from an anatomical atlas with postoperative magnetic resonance (MR) images obtained in each patient. This approach was validated by an analysis of experimental and clinical MR images of the electrode, and the development of a three-dimensional (3D) atlas-MR imaging coregistration method. The PD motor score was assessed through two contacts for each of two electrodes implanted in 10 patients: the "therapeutic contact" and the "distant contact" (that is, the next but one to the therapeutic contact). Seventeen therapeutic contacts were located within or on the border of the STN, most of which were associated with significant improvement of the four PD symptoms tested. Therapeutic contacts located in other structures (zona incerta, lenticular fasciculus, or midbrain reticular formation) were also linked to a significant positive effect. Stimulation applied through distant contacts located in the STN improved symptoms of PD, whereas that delivered through distant contacts in the remaining structures had variable effects ranging from worsening of symptoms to their improvement. CONCLUSIONS: The authors have demonstrated that 3D atlas-MR imaging coregistration is a reliable method for the precise localization of DBS electrodes on postoperative MR images. In addition, they have confirmed that although the STN is the main target during DBS treatment for PD, stimulation of surrounding regions, particularly the zona incerta or the lenticular fasciculus, can also improve symptoms of PD.},
author = {J. Yelnik and P. Damier and S. Demeret and D. Gervais and E. Bardinet and B.P. Bejjani and C. Francois and J.L. Houeto and I. Arnule and D. Dormont and D. Galanaud and B. Pidoux and P. Cornu and Y. Agid},
journal = {Journal of Neurosurgery},
month = {July},
number = {1},
pages = {89--99},
title = {Localization of stimulating electrodes in patients with Parkinson disease by using a three-dimensional atlas-magnetic resonance imaging coregistration method},
volume = {99},
year = {2003} 
}


Conference articles

  1. J Annese, A. Pitiot, L.D. Dinov, and A.W. Toga. A myelo-architectonic method for the structural classification of cortical areas. In Human Brain Mapping HBM'03, 2003. 
    @inproceedings{Pitiot:BrainMapping:03,
author = {J Annese and A. Pitiot and L.D. Dinov and A.W. Toga},
booktitle = {Human Brain Mapping HBM'03},
title = {A myelo-architectonic method for the structural classification of cortical areas},
year = {2003} 
}


  2. Vincent Arsigny, Xavier Pennec, and Nicholas Ayache. Polyrigid and Polyaffine Transformations: A New Class of Diffeomorphisms for Locally Rigid or Affine Registration. In Randy E. Ellis and Terry M. Peters, editors, Proc. of MICCAI'03, Part II, volume 2879 of LNCS, Montreal, pages 829-837, November 2003. Springer. Note: MICCAI 2003 Best Student Award in Image Processing and Visualization. PMID: 15948656. 
    @inproceedings{Arsigny:MICCAI:2003,
address = {Montreal},
author = {Vincent Arsigny and Xavier Pennec and Nicholas Ayache},
booktitle = {Proc. of MICCAI'03, Part II},
doi = {10.1007/b93811},
editor = {Randy E. Ellis and Terry M. Peters},
month = {November},
note = {MICCAI 2003 Best Student Award in Image Processing and Visualization. PMID: 15948656},
pages = {829--837},
publisher = {Springer},
series = {LNCS},
title = {Polyrigid and Polyaffine Transformations: A New Class of Diffeomorphisms for Locally Rigid or Affine Registration},
url = {https://www-sop.inria.fr/asclepios/Publications/Xavier.Pennec/Arsigny_MICCAI03.pdf},
url-publisher = {http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2879&spage=829},
volume = {2879},
year = {2003} 
}


  3. M.A. Audette, H. Delingette, A. Fuchs, Y. Koseki, and K. Chinzei. A procedure for computing patient-specific anatomical models for finite element-based surgical simulation. In Seventh Annual Conference of the International Society for Computer Aided Surgery (ISCAS'03), London (UK), June 2003. 
    @inproceedings{audette:CARS:03,
address = {London (UK)},
author = {M.A. Audette and H. Delingette and A. Fuchs and Y. Koseki and K. Chinzei},
booktitle = {Seventh Annual Conference of the International Society for Computer Aided Surgery (ISCAS'03)},
month = {June},
title = {A procedure for computing patient-specific anatomical models for finite element-based surgical simulation},
year = {2003} 
}


  4. C. Blondel, G. Malandain, R. Vaillant, and N. Ayache. 4D deformation field of coronary arteries from monoplane rotational X-ray angiography. In Computer Assisted Radiology and Surgery 2003 Proceedings, volume 1256 of ICS, Londres, United Kingdom, June 2003. Elsevier. 
    @inproceedings{blondel:cars:2003,
address = {Londres, United Kingdom},
author = {C. Blondel and G. Malandain and R. Vaillant and N. Ayache},
booktitle = {Computer Assisted Radiology and Surgery 2003 Proceedings},
doi = {10.1016/S0531-5131(03)00256-5},
month = {June},
publisher = {Elsevier},
series = {ICS},
title = {4D deformation field of coronary arteries from monoplane rotational X-ray angiography},
volume = {1256},
year = {2003} 
}


  5. C. Blondel, G. Malandain, R. Vaillant, F. Devernay, È. Coste-Manière, and N. Ayache. 4D Tomographic Representation of Coronary Arteries From One Rotational X-ray Sequence. In Randy E. Ellis and Terry M. Peters, editors, Medical image computing and computer-assisted intervention (MICCAI 2003), volume 2878 of LNCS, Montreal, Canada, pages 416-423, November 2003. Springer.
    Abstract:
    We present a complete and fully automatic method to compute a tomographic 4D representation of coronary arteries from one single rotational monoplane X-ray sequence. The major steps of our method are the following: (1) images filtering, (2) arteries segmentation, (3) arteries matching and reconstruction, (4) parametric deformation field computation, and (5) deformation-compensated tomographic reconstruction. Steps (2) and (3) involve only a few frames, acquired at the same cardiac cycle phase, while the steps (1), (4), and (5) use the frames acquired at all cardiac cycle phases. This method has been successfully applied to 4 patient data sets. The 4D representation allows the visualization of coronary arteries anatomy from any point of view, and at any cardiac cycle time. 

    @inproceedings{blondel:miccai:2003,
abstract = {We present a complete and fully automatic method to compute a tomographic 4D representation of coronary arteries from one single rotational monoplane X-ray sequence. The major steps of our method are the following: (1) images filtering, (2) arteries segmentation, (3) arteries matching and reconstruction, (4) parametric deformation field computation, and (5) deformation-compensated tomographic reconstruction. Steps (2) and (3) involve only a few frames, acquired at the same cardiac cycle phase, while the steps (1), (4), and (5) use the frames acquired at all cardiac cycle phases. This method has been successfully applied to 4 patient data sets. The 4D representation allows the visualization of coronary arteries anatomy from any point of view, and at any cardiac cycle time.},
address = {Montreal, Canada},
author = {C. Blondel and G. Malandain and R. Vaillant and F. Devernay and \`E. Coste-Mani\`ere and N. Ayache},
booktitle = {Medical image computing and computer-assisted intervention (MICCAI 2003)},
doi = {10.1007/b93810},
editor = {Randy E. Ellis and Terry M. Peters},
hal-identifiant = {inria-00262367},
month = {November},
pages = {416--423},
publisher = {Springer},
series = {LNCS},
title = {4D Tomographic Representation of Coronary Arteries From One Rotational X-ray Sequence},
url-hal = {http://hal.inria.fr/inria-00262367/en/},
volume = {2878},
year = {2003} 
}


  6. C. Blondel, R. Vaillant, G. Malandain, and N. Ayache. 3D tomographic reconstruction of coronary arteries using a precomputed 4D motion field. In Yves Bizais, editor, Proceedings of the VIIth International Conference on Fully 3D Reconstruction In Radiology and Nuclear Medicine, Saint-Malo, France, July 2003. 
    @inproceedings{blondel:3D:2003,
address = {Saint-Malo, France},
author = {C. Blondel and R. Vaillant and G. Malandain and N. Ayache},
booktitle = {Proceedings of the VIIth International Conference on Fully 3D Reconstruction In Radiology and Nuclear Medicine},
editor = {Yves Bizais},
month = {July},
title = {3D tomographic reconstruction of coronary arteries using a precomputed 4D motion field},
year = {2003} 
}


  7. P. Cathier and N. Ayache. New Vector Field Regularization Techniques for Nonrigid Registration. In J.C. Gee, J.B. A. Maintz, and M. W. Vannier, editors, Second International Workshop on Biomedical Image Registration WBIR'03, volume 2717 of Lecture Notes in Computer Science, Philadelphia, PA, USA, pages 1-10, 2003. Springer. Keyword(s): registration, regularization. 
    @inproceedings{Cathier:WBIR:03,
address = {Philadelphia, PA, USA},
author = {P. Cathier and N. Ayache},
booktitle = {Second International Workshop on Biomedical Image Registration WBIR'03},
editor = {J.C. Gee and J.B. A. Maintz and M. W. Vannier},
keywords = {registration, regularization},
pages = {1--10},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {New Vector Field Regularization Techniques for Nonrigid Registration},
volume = {2717},
year = {2003} 
}


  8. Olivier Clatz, Hervé Delingette, Eric Bardinet, Didier Dormont, and Nicholas Ayache. Détermination d'un modèle biomécanique du cerveau par l'analyse d'images : application à la maladie de Parkinson. In Congrès Français de Mécanique (CFM), 2003. 
    @inproceedings{Clatz:CFM:03,
author = {Olivier Clatz and Herv\'e Delingette and Eric Bardinet and Didier Dormont and Nicholas Ayache},
booktitle = {Congr\`es Fran\c{c}ais de M\'ecanique (CFM)},
title = {D\'etermination d'un mod\`ele biom\'ecanique du cerveau par l'analyse d'images : application \`a la maladie de Parkinson},
url = {https://www-sop.inria.fr/asclepios/Publications/Clatz/cfm2003_clatz.pdf},
year = {2003} 
}


  9. Olivier Clatz, Hervé Delingette, Eric Bardinet, Didier Dormont, and Nicholas Ayache. Patient Specific Biomechanical Model of the Brain: Application to Parkinson's disease procedure. In N. Ayache and H. Delingette, editors, International Symposium on Surgery Simulation and Soft Tissue Modeling (IS4TM'03), volume 2673 of Lecture Notes in Computer Science, Juan-les-Pins, France, pages 321-331, 2003. INRIA Sophia Antipolis, Springer. 
    @inproceedings{Clatz:IS4TM:03,
address = {Juan-les-Pins, France},
author = {Olivier Clatz and Herv\'e Delingette and Eric Bardinet and Didier Dormont and Nicholas Ayache},
booktitle = {International Symposium on Surgery Simulation and Soft Tissue Modeling (IS4TM'03)},
editor = {N. Ayache and H. Delingette},
organization = {INRIA Sophia Antipolis},
pages = {321--331},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Patient Specific Biomechanical Model of the Brain: Application to Parkinson's disease procedure},
url = {https://www-sop.inria.fr/asclepios/Publications/Clatz/is4tm2002_clatz.pdf},
volume = {2673},
year = {2003} 
}


  10. J. Dauguet, V. Frouin, Y. Cointepas, D. Hervé, N. Ayache, and P. Hantraye. Robust segmentation of the thalamus using Kohonen algorithm from diffusion tensor image. In Proc of Int. Soc. for Magnetic Resonance in Medicine (ISMRM) 11th Scientific meeting, Toronto, 2003. 
    @inproceedings{Dauguet:ISMRM:03,
address = {Toronto},
author = {J. Dauguet and V. Frouin and Y. Cointepas and D. Herv\'e and N. Ayache and P. Hantraye},
booktitle = {Proc of Int. Soc. for Magnetic Resonance in Medicine (ISMRM) 11th Scientific meeting},
title = {Robust segmentation of the thalamus using Kohonen algorithm from diffusion tensor image},
url = {https://www-sop.inria.fr/asclepios/Publications/Dauguet/Dauguet_ISMRM_03.pdf},
year = {2003} 
}


  11. T. Delzescaux, J. Dauguet, F. Condé, R. Maroy, and V. Frouin. Using 3D Non Rigid FFD-Based Method to Register post mortem 3D Histological Data and in vivo MRI of a Baboon Brain. In Randy E. Ellis and Terry M. Peters, editors, Medical image computing and computer-assisted intervention (MICCAI 2003), volume 2879 of LNCS, Montreal, Canada, pages 965-966, November 2003. Springer. 
    @inproceedings{delzescaux:miccai:2003,
address = {Montreal, Canada},
author = {T. Delzescaux and J. Dauguet and F. Cond\'e and R. Maroy and V. Frouin},
booktitle = {Medical image computing and computer-assisted intervention (MICCAI 2003)},
editor = {Randy E. Ellis and Terry M. Peters},
month = {November},
pages = {965--966},
publisher = {Springer},
series = {LNCS},
title = {Using 3D Non Rigid FFD-Based Method to Register post mortem 3D Histological Data and in vivo MRI of a Baboon Brain},
volume = {2879},
year = {2003} 
}


  12. P. Fillard and G. Gerig. Analysis Tool For Diffusion Tensor MR. In Proc. of MICCAI'03, Part II, volume 2879 of LNCS, pages 967-968, November 2003. Springer. 
    @inproceedings{Fillard:MICCAI:03b,
author = {P. Fillard and G. Gerig},
booktitle = {Proc. of MICCAI'03, Part II},
doi = {10.1007/978-3-540-39903-2_126},
hal-identifiant = {inria-00502755},
month = {November},
pages = {967-968},
publisher = {Springer},
series = {LNCS},
title = {Analysis Tool For Diffusion Tensor MR},
url-hal = {http://hal.inria.fr/inria-00502755/en/},
volume = {2879},
year = {2003} 
}


  13. P. Fillard, J. Gilmore, W. Lin, J. Piven, and G. Gerig. Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths. In Proc of MICCAI'03, Part I, volume 2879 of LNCS, pages 16-23, November 2003. Springer. Note: MICCAI'03 Award: Best Student Paper in Image Analysis. 
    @inproceedings{Fillard:MICCAI:03a,
author = {P. Fillard and J. Gilmore and W. Lin and J. Piven and G. Gerig},
booktitle = {Proc of MICCAI'03, Part I},
hal-identifiant = {inria-00502744},
month = {November},
note = {MICCAI'03 Award: Best Student Paper in Image Analysis.},
pages = {16-23},
publisher = {Springer},
series = {LNCS},
title = {Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths},
url-hal = {http://hal.inria.fr/inria-00502744/en/},
volume = {2879},
year = {2003} 
}


  14. Guillaume Flandin, Will Penny, Xavier Pennec, Nicholas Ayache, and Jean-Baptiste Poline. A multisubject anatomo-functional parcellation of the brain. In Tomas Paus, Ed Bullmore, and Jonathan D. Cohen, editors, NeuroImage (HBM'03), New York, USA, 2003. Academic Press. Keyword(s): fMRI. 
    @inproceedings{Flandin:HBM:03a,
address = {New York, USA},
author = {Guillaume Flandin and Will Penny and Xavier Pennec and Nicholas Ayache and Jean-Baptiste Poline},
booktitle = {NeuroImage (HBM'03)},
editor = {Tomas Paus and Ed Bullmore and Jonathan D. Cohen},
keywords = {fMRI},
publisher = {Academic Press},
title = {A multisubject anatomo-functional parcellation of the brain},
url-publisher = {http://208.164.121.55/hbm2003/abstract/abstract824.htm},
year = {2003} 
}


  15. Céline Fouard and Grégoire Malandain. Systematized calculation of optimal coefficients of 3-D chamfer norms. In Ingela Nyström, Gabriella Sanniti di Baja, and Stina Svensson, editors, Proc. of DGCI'03, number 2886 of LNCS, Napoly, Italy, pages 214-223, November 2003. Springer. Keyword(s): chamfer mask, norm constraints anysotropic grid. 
    @inproceedings{Fouard:DGCI:2003,
address = {Napoly, Italy},
author = {C\'eline Fouard and Gr\'egoire Malandain},
booktitle = {Proc. of DGCI'03},
doi = {10.1007/b94107},
editor = {Ingela Nystr\"om and di Baja, Gabriella Sanniti and Stina Svensson},
hal-identifiant = {hal-00308962},
keywords = {chamfer mask, norm constraints anysotropic grid},
month = {November},
number = {2886},
pages = {214--223},
postscript = {https://www-sop.inria.fr/asclepios/Publications/Fouard/Fouard_Malandain_DGCI_2003.ps.gz},
publisher = {Springer},
series = {LNCS},
title = {Systematized calculation of optimal coefficients of 3-D chamfer norms},
url = {https://www-sop.inria.fr/asclepios/Publications/Fouard/Fouard_Malandain_DGCI_2003.pdf},
url-hal = {http://hal.inria.fr/hal-00308962/en/},
year = {2003} 
}


  16. Miguel Angel González Ballester, Xavier Pennec, and Nicholas Ayache. Generalized Image Models and Their Application as Statistical Models of Images. In Randy E. Ellis and Terry M. Peters, editors, Proc. of MICCAI'03, volume 2879 of Lecture Notes in Computer Science, Montreal, Canada, pages 150-157, November 2003. Springer. 
    @inproceedings{Gonzalez:MICCAI:03,
address = {Montreal, Canada},
author = {Gonz\'alez Ballester, Miguel Angel and Xavier Pennec and Nicholas Ayache},
booktitle = {Proc. of MICCAI'03},
doi = {10.1007/b93811},
editor = {Randy E. Ellis and Terry M. Peters},
month = {November},
pages = {150-157},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Generalized Image Models and Their Application as Statistical Models of Images},
url = {https://www-sop.inria.fr/asclepios/Publications/Gonzalez/Gonzalez_MICCAI_2003.pdf},
url-publisher = {http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2879&spage=150},
volume = {2879},
year = {2003} 
}


  17. G. Hamarneh, H. Delingette, and M. Henkelman. 3D segmentation of mouse organs from MR images using deformable simplex mesh models. In International Society for Magnetic Resonance in Medicine, 11th Scientific Meeting (ISMRM'03), Toronto (CA), July 2003. 
    @inproceedings{Hamarneh:ISMRM:03,
address = {Toronto (CA)},
author = {G. Hamarneh and H. Delingette and M. Henkelman},
booktitle = {International Society for Magnetic Resonance in Medicine, 11th Scientific Meeting (ISMRM'03)},
month = {July},
title = {3D segmentation of mouse organs from MR images using deformable simplex mesh models},
year = {2003} 
}


  18. C. Kenwright, E. Bardinet, S.A. Hojjat, G. Malandain, N. Ayache, and A.C.F. Colchester. 2D to 3D Refinement of Post Mortem Optical and MRI Co-Registration. In Randy E. Ellis and Terry M. Peters, editors, Medical image computing and computer-assisted intervention (MICCAI 2003), volume 2879 of LNCS, Montreal, Canada, pages 935-944, November 2003. Springer. 
    @inproceedings{kenwright:miccai:2003,
address = {Montreal, Canada},
author = {C. Kenwright and E. Bardinet and S.A. Hojjat and G. Malandain and N. Ayache and A.C.F. Colchester},
booktitle = {Medical image computing and computer-assisted intervention (MICCAI 2003)},
editor = {Randy E. Ellis and Terry M. Peters},
month = {November},
pages = {935--944},
publisher = {Springer},
series = {LNCS},
title = {2D to 3D Refinement of Post Mortem Optical and MRI Co-Registration},
volume = {2879},
year = {2003} 
}


  19. Pierre-Jean Lahaye, Jean-Baptiste Poline, Guillaume Flandin, and Line Garnero. Functional connectivity: studying non-linear, asynchronous interactions between BOLD signals. In Tomas Paus, Ed Bullmore, and Jonathan D. Cohen, editors, NeuroImage (HBM'03), New York, USA, 2003. Academic Press. Keyword(s): fMRI. 
    @inproceedings{Flandin:HBM:03b,
address = {New York, USA},
author = {Pierre-Jean Lahaye and Jean-Baptiste Poline and Guillaume Flandin and Line Garnero},
booktitle = {NeuroImage (HBM'03)},
editor = {Tomas Paus and Ed Bullmore and Jonathan D. Cohen},
keywords = {fMRI},
publisher = {Academic Press},
title = {Functional connectivity: studying non-linear, asynchronous interactions between BOLD signals},
url-publisher = {http://208.164.121.55/hbm2003/abstract/abstract865.htm},
year = {2003} 
}


  20. M. G. Linguraru, M. A. González Ballester, and N. Ayache. A Multiscale Feature Detector for Morphological Analysis of the Brain. In Randy E. Ellis and Terry M. Peters, editors, Medical Image Computing and Computer-Assisted Intervention'03, volume 2879 of Lecture Notes in Computer Science, Montreal, Canada, pages 738-745, November 2003. Springer. 
    @inproceedings{Linguraru:MICCAI:03,
address = {Montreal, Canada},
author = {M. G. Linguraru and Gonz\'alez Ballester, M. A. and N. Ayache},
booktitle = {Medical Image Computing and Computer-Assisted Intervention'03},
doi = {10.1007/b93811},
editor = {Randy E. Ellis and Terry M. Peters},
month = {November},
pages = {738-745},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {A Multiscale Feature Detector for Morphological Analysis of the Brain},
url = {https://www-sop.inria.fr/asclepios/Publications/Gonzalez/Linguraru_MICCAI_2003.pdf},
url-publisher = {http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2879&spage=738},
volume = {2879},
year = {2003} 
}


  21. G. Malandain and E. Bardinet. Fusion of autoradiographies with an MR volume using 2-D and 3-D linear transformations. In Chris Taylor and Alison Noble, editors, Proceedings of Information Processing in Medical Imaging (IPMI'03), volume 2732 of LNCS, pages 487-498, 2003. Springer. Keyword(s): autoradiography, histology, MRI, matching, fusion. 
    @inproceedings{malandain-bardinet:ipmi:2003,
author = {G. Malandain and E. Bardinet},
booktitle = {Proceedings of Information Processing in Medical Imaging (IPMI'03)},
editor = {Chris Taylor and Alison Noble},
keywords = {autoradiography, histology, MRI, matching, fusion},
pages = {487--498},
publisher = {Springer},
series = {LNCS},
title = {Fusion of autoradiographies with an MR volume using 2-D and 3-D linear transformations},
volume = {2732},
year = {2003} 
}


  22. Grégoire Malandain and Eric Bardinet. Intensity compensation within series of images. In Randy E. Ellis and Terry M. Peters, editors, Medical image computing and computer-assisted intervention (MICCAI 2003), volume 2879 of LNCS, Montreal, Canada, pages 41-49, November 2003. Springer.
    Abstract:
    This article addresses the problem of histogram matching in the context of medical image processing. Such a problem occurs while comparing two images of the same object, where intensity differences are due to different acquisition conditions. This can be compensated by histogram matching or equalization. To achieve this, we based our method on windowing techniques. This allows to match implicitly continuous probability density functions, yielding more robust results than the methods issued from discrete histograms. 

    @inproceedings{malandain:miccai:2003,
abstract = {This article addresses the problem of histogram matching in the context of medical image processing. Such a problem occurs while comparing two images of the same object, where intensity differences are due to different acquisition conditions. This can be compensated by histogram matching or equalization. To achieve this, we based our method on windowing techniques. This allows to match implicitly continuous probability density functions, yielding more robust results than the methods issued from discrete histograms.},
address = {Montreal, Canada},
author = {Gr\'egoire Malandain and Eric Bardinet},
booktitle = {Medical image computing and computer-assisted intervention (MICCAI 2003)},
doi = {10.1007/978-3-540-39903-2_6},
editor = {Randy E. Ellis and Terry M. Peters},
month = {November},
pages = {41--49},
publisher = {Springer},
series = {LNCS},
title = {Intensity compensation within series of images},
volume = {2879},
year = {2003} 
}


  23. Stéphane Nicolau, Alain Garcia, Xavier Pennec, Luc Soler, and Nicholas Ayache. Augmented Reality guided radio-frequency tumor ablation. In Proceedings of Augmented and Virtual Reality Workshop (AVIR03), Genève, pages 34-35, 2003. Keyword(s): 3D/2D registration, Augmented reality, validation. 
    @inproceedings{Nicolau:AVIR:03,
address = {Gen\`eve},
author = {St\'ephane Nicolau and Alain Garcia and Xavier Pennec and Luc Soler and Nicholas Ayache},
booktitle = {Proceedings of Augmented and Virtual Reality Workshop (AVIR03)},
keywords = {3D/2D registration, Augmented reality, validation},
pages = {34-35},
title = {Augmented Reality guided radio-frequency tumor ablation},
url = {https://www-sop.inria.fr/asclepios/Publications/Xavier.Pennec/Nicolau_AVIR03.pdf},
year = {2003} 
}


  24. Stéphane Nicolau, Alain Garcia, Xavier Pennec, Luc Soler, and Nicholas Ayache. Guidage de ponctions percutanées à l'aide d'un système de vision basé sur une méthode de recalage 3D/2D. In Actes du colloque Imagerie pour les sciences du vivant et de l'ingénieur (IMVIE03), Strasbourg, 2003. Keyword(s): 3D/2D registration, Augmented reality, validation. 
    @inproceedings{Nicolau:IMVIE:03,
address = {Strasbourg},
author = {St\'ephane Nicolau and Alain Garcia and Xavier Pennec and Luc Soler and Nicholas Ayache},
booktitle = {Actes du colloque Imagerie pour les sciences du vivant et de l'ing\'enieur (IMVIE03)},
keywords = {3D/2D registration, Augmented reality, validation},
title = {Guidage de ponctions percutan\'ees \`a l'aide d'un syst\`eme de vision bas\'e sur une m\'ethode de recalage 3D/2D},
url = {https://www-sop.inria.fr/asclepios/Publications/Xavier.Pennec/Nicolau_IMVIE03.pdf},
year = {2003} 
}


  25. Stéphane Nicolau, Xavier Pennec, Luc Soler, and Nicholas Ayache. Evaluation of a New 3D/2D Registration Criterion for Liver Radio-Frequencies Guided by Augmented Reality. In N. Ayache and H. Delingette, editors, International Symposium on Surgery Simulation and Soft Tissue Modeling (IS4TM'03), volume 2673 of Lecture Notes in Computer Science, Juan-les-Pins, France, pages 270-283, 2003. INRIA Sophia Antipolis, Springer. Keyword(s): 3D/2D registration, Augmented reality, validation. 
    @inproceedings{Nicolau:IS4TM:03,
address = {Juan-les-Pins, France},
author = {St\'ephane Nicolau and Xavier Pennec and Luc Soler and Nicholas Ayache},
booktitle = {International Symposium on Surgery Simulation and Soft Tissue Modeling (IS4TM'03)},
editor = {N. Ayache and H. Delingette},
keywords = {3D/2D registration, Augmented reality, validation},
organization = {INRIA Sophia Antipolis},
pages = {270--283},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Evaluation of a New 3D/2D Registration Criterion for Liver Radio-Frequencies Guided by Augmented Reality},
url = {https://www-sop.inria.fr/asclepios/Publications/Xavier.Pennec/Nicolau.IS4TM03.pdf},
url-publisher = {http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2673&spage=270},
volume = {2673},
year = {2003} 
}


  26. Stéphane Nicolau, Xavier Pennec, Luc Soler, and Nicholas Ayache. Vision augmentée de structures anatomiques abdominales recalées par stéréoscopie. In Actes du quatrième colloque francophone. Méthodes et Techniques Optiques pour l'Industrie, volume 1, Belfort, pages 413-418, 2003. 
    @inproceedings{Nicolau:03:SFO,
address = {Belfort},
author = {St\'ephane Nicolau and Xavier Pennec and Luc Soler and Nicholas Ayache},
booktitle = {Actes du quatri\`eme colloque francophone. M\'ethodes et Techniques Optiques pour l'Industrie},
pages = {413--418},
title = {Vision augment\'ee de structures anatomiques abdominales recal\'ees par st\'er\'eoscopie},
volume = {1},
year = {2003} 
}


  27. R. R. Paulsen and K. B. Hilger. Shape Modelling Using Markov Random Field Restoration of Point Correspondences. In Information Processing in Medical Imaging, IPMI, 2003. Keyword(s): Markov Random Field, Statistical Shape Model, Registration, Thin Plate Spline. 
    @inproceedings{IMM2003-02375,
author = {R. R. Paulsen and K. B. Hilger},
booktitle = {Information Processing in Medical Imaging},
keywords = {Markov Random Field, Statistical Shape Model, Registration, Thin Plate Spline},
series = {IPMI},
title = {Shape Modelling Using Markov Random Field Restoration of Point Correspondences},
year = {2003} 
}


  28. A. Pitiot, H. Delingette, N. Ayache, and P. M. Thompson. Expert-Knowledge-Guided Segmentation System for Brain MRI. In Randy E. Ellis and Terry M. Peters, editors, Medical Image Computing and Computer-Assisted Intervention MICCAI'03, volume 2879 of LNCS, Montreal, pages 644-652, November 2003. Springer. 
    @inproceedings{Pitiot:MICCAI:03,
address = {Montreal},
author = {A. Pitiot and H. Delingette and N. Ayache and P. M. Thompson},
booktitle = {Medical Image Computing and Computer-Assisted Intervention MICCAI'03},
editor = {Randy E. Ellis and Terry M. Peters},
month = {November},
pages = {644--652},
publisher = {Springer},
series = {LNCS},
title = {Expert-Knowledge-Guided Segmentation System for Brain MRI},
url = {https://www-sop.inria.fr/asclepios/Publications/Pitiot/pitiot-miccai-2003.pdf},
volume = {2879},
year = {2003} 
}


  29. A. Pitiot, H. Delingette, A. Toga, and P. M. Thompson. Learning Object Correspondences with the Observed Transport Shape Measure. In Chris Taylor and J. A. Noble, editors, Information Processing in Medical Imaging IPMI'03, volume 2732 of LNCS, pages 25-37, July 2003. Springer. 
    @inproceedings{Pitiot:IPMI:03,
author = {A. Pitiot and H. Delingette and A. Toga and P. M. Thompson},
booktitle = {Information Processing in Medical Imaging IPMI'03},
editor = {Chris Taylor and J. A. Noble},
month = {July},
pages = {25--37},
publisher = {Springer},
series = {LNCS},
title = {Learning Object Correspondences with the Observed Transport Shape Measure},
url = {https://www-sop.inria.fr/asclepios/Publications/Pitiot/pitiot-ipmi-2003.pdf},
volume = {2732},
year = {2003} 
}


  30. A. Pitiot, G. Malandain, E. Bardinet, and P. M. Thompson. Piecewise Affine Registration of Biological Images. In J.C. Gee, J.B. A. Maintz, and M. W. Vannier, editors, Second International Workshop on Biomedical Image Registration WBIR'03, volume 2717 of Lecture Notes in Computer Science, Philadelphia, PA, USA, pages 91-101, 2003. Springer. Note: Also research report INRIA RR-4866. Keyword(s): registration, histology. 
    @inproceedings{Pitiot:WBIR:03,
address = {Philadelphia, PA, USA},
author = {A. Pitiot and G. Malandain and E. Bardinet and P. M. Thompson},
booktitle = {Second International Workshop on Biomedical Image Registration WBIR'03},
editor = {J.C. Gee and J.B. A. Maintz and M. W. Vannier},
keywords = {registration, histology},
note = {Also research report INRIA RR-4866},
pages = {91--101},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Piecewise Affine Registration of Biological Images},
url = {https://www-sop.inria.fr/asclepios/Publications/Pitiot/pitiot-wbir-2003.pdf},
volume = {2717},
year = {2003} 
}


  31. Alexis Roche, Ferath Kherif, Guillaume Flandin, and Jean-Baptiste Poline. Should fMRI data be analyzed using a single BOLD response model across regions?. In Tomas Paus, Ed Bullmore, and Jonathan D. Cohen, editors, NeuroImage (HBM'03), New York, USA, 2003. Academic Press. Keyword(s): fMRI. 
    @inproceedings{Flandin:HBM:03c,
address = {New York, USA},
author = {Alexis Roche and Ferath Kherif and Guillaume Flandin and Jean-Baptiste Poline},
booktitle = {NeuroImage (HBM'03)},
editor = {Tomas Paus and Ed Bullmore and Jonathan D. Cohen},
keywords = {fMRI},
publisher = {Academic Press},
title = {Should fMRI data be analyzed using a single BOLD response model across regions?},
url-publisher = {http://208.164.121.55/hbm2003/abstract/abstract927.htm},
year = {2003} 
}


  32. Maxime Sermesant, Olivier Clatz, Zhongze Li, Stéphane Lanteri, Hervé Delingette, and Nicholas Ayache. A Parallel Implementation of Non-Rigid Registration Using a Volumetric Biomechanical Model. In J.C. Gee, J.B. A. Maintz, and M. W. Vannier, editors, Second International Workshop on Biomedical Image Registration WBIR'03, volume 2717 of Lecture Notes in Computer Science, Philadelphia, PA, USA, pages 398-407, 2003. Springer. 
    @inproceedings{Sermesant:WBIR:03,
address = {Philadelphia, PA, USA},
author = {Maxime Sermesant and Olivier Clatz and Zhongze Li and St\'ephane Lanteri and Herv\'e Delingette and Nicholas Ayache},
booktitle = {Second International Workshop on Biomedical Image Registration WBIR'03},
editor = {J.C. Gee and J.B. A. Maintz and M. W. Vannier},
pages = {398--407},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {A Parallel Implementation of Non-Rigid Registration Using a Volumetric Biomechanical Model},
url = {https://www-sop.inria.fr/asclepios/Publications/Maxime.Sermesant/WBIR2003Sermesant.pdf},
volume = {2717},
year = {2003} 
}


  33. M. Sermesant, O. Faris, F. Evans, E. McVeigh, Yves Coudière, H. Delingette, and N. Ayache. Preliminary validation using in vivo measures of a macroscopic electrical model of the heart. In N. Ayache and H. Delingette, editors, International Symposium on Surgery Simulation and Soft Tissue Modeling (IS4TM'03), volume 2673 of Lecture Notes in Computer Science, Juan-les-Pins, France, pages 230-243, 2003. INRIA Sophia Antipolis, Springer. 
    @inproceedings{Sermesant:IS4TM:03,
address = {Juan-les-Pins, France},
author = {M. Sermesant and O. Faris and F. Evans and E. McVeigh and Yves Coudi\`ere and H. Delingette and N. Ayache},
booktitle = {International Symposium on Surgery Simulation and Soft Tissue Modeling (IS4TM'03)},
editor = {N. Ayache and H. Delingette},
organization = {INRIA Sophia Antipolis},
pages = {230--243},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Preliminary validation using in vivo measures of a macroscopic electrical model of the heart},
url = {https://www-sop.inria.fr/asclepios/Publications/Maxime.Sermesant/IS4TM2003Sermesant.pdf},
volume = {2673},
year = {2003} 
}


  34. Radu Stefanescu, Xavier Pennec, and Nicholas Ayache. Grid Enabled Non-Rigid Registration with a Dense Transformation and A Priori Information. In Randy E. Ellis and Terry M. Peters, editors, Proc. of MICCAI'03, Part II, volume 2879 of LNCS, Montreal, pages 804-811, November 2003. Springer. 
    @inproceedings{Stefanescu:MICCAI:2003,
address = {Montreal},
author = {Radu Stefanescu and Xavier Pennec and Nicholas Ayache},
booktitle = {Proc. of MICCAI'03, Part II},
doi = {10.1007/978-3-540-39903-2_98},
editor = {Randy E. Ellis and Terry M. Peters},
month = {November},
pages = {804--811},
publisher = {Springer},
series = {LNCS},
title = {Grid Enabled Non-Rigid Registration with a Dense Transformation and A Priori Information},
url-publisher = {http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2879&spage=804},
volume = {2879},
year = {2003} 
}


  35. Radu Stefanescu, Xavier Pennec, and Nicholas Ayache. Parallel non-rigid registration on a cluster of workstations. In Sofie Norager, editor, Proc. of HealthGrid'03, Lyon, January 2003. European Commission, DG Information Society. Keyword(s): registration, matching, real time, parallelism. 
    @inproceedings{Stefanescu:HealthGrid:03,
address = {Lyon},
author = {Radu Stefanescu and Xavier Pennec and Nicholas Ayache},
booktitle = {Proc. of HealthGrid'03},
editor = {Sofie Norager},
keywords = {registration, matching, real time, parallelism},
month = {January},
postscript = {https://www-sop.inria.fr/asclepios/Publications/Stefanescu/ParallelDemons_preprint.ps},
publisher = {European Commission, DG Information Society},
title = {Parallel non-rigid registration on a cluster of workstations},
url = {https://www-sop.inria.fr/asclepios/Publications/Stefanescu/ParallelDemons_preprint.pdf},
url-publisher = {http://lyon2003.healthgrid.org},
year = {2003} 
}


  36. Jérôme Yelnik, Eric Bardinet, Didier Dormont, Chantal François, Dominique Tandé, Karine Parain, Grégoire Malandain, Nicholas Ayache, Etienne Hirsch, and Yves Agid. Delineation of the basal ganglia in MR images of patients by automatic registration of a multimodal atlas based on histological and MR data. In NeuroImage (HBM'03), New York, USA, 2003. Keyword(s): fMRI. 
    @inproceedings{bardinet:HBM:03,
address = {New York, USA},
author = {J\'er\^ome Yelnik and Eric Bardinet and Didier Dormont and Chantal Fran\c{c}ois and Dominique Tand\'e and Karine Parain and Gr\'egoire Malandain and Nicholas Ayache and Etienne Hirsch and Yves Agid},
booktitle = {NeuroImage (HBM'03)},
keywords = {fMRI},
title = {Delineation of the basal ganglia in MR images of patients by automatic registration of a multimodal atlas based on histological and MR data},
url-publisher = {http://208.164.121.55/hbm2003/abstract/abstract1000.htm},
year = {2003} 
}


Internal reports

  1. Vincent Arsigny, Xavier Pennec, and Nicholas Ayache. A novel family of geometrical transformations: Polyrigid transformations. Application to the registration of histological slices. Research report RR-4837, INRIA, 2003. Keyword(s): registration, matching, histology. 
    @techreport{Arsigny:RR:2003,
author = {Vincent Arsigny and Xavier Pennec and Nicholas Ayache},
hal-identifiant = {inria-00071748},
institution = {INRIA},
keywords = {registration, matching, histology},
number = {RR-4837},
title = {A novel family of geometrical transformations: Polyrigid transformations. Application to the registration of histological slices},
type = {Research report},
url = {ftp://ftp.inria.fr/INRIA/publication/publi-pdf/RR/RR-4837.pdf},
url-hal = {http://hal.inria.fr/inria-00071748/en/},
url-publisher = {http://www.inria.fr/rrrt/rr-4837.html},
year = {2003} 
}


  2. E. Bardinet and G. Malandain. Fusion of autoradiographies with an MR volume using 2-D and 3-D linear transformations. Research report RR-4791, INRIA, 2003. Keyword(s): autoradiography, histology, MRI, matching, fusion. 
    @techreport{bardinet-malandain:rr:2003,
author = {E. Bardinet and G. Malandain},
hal-identifiant = {inria-00071795},
institution = {INRIA},
keywords = {autoradiography, histology, MRI, matching, fusion},
number = {RR-4791},
title = {Fusion of autoradiographies with an MR volume using 2-D and 3-D linear transformations},
type = {Research report},
url = {http://www.inria.fr/rrrt/rr-4791.html},
url-hal = {http://hal.inria.fr/inria-00071795/en/},
year = {2003} 
}


  3. Céline Fouard and Grégoire Malandain. Automatic calculation of chamfer mask coefficients for large masks and anisotropic images. Research report RR-4792, INRIA, 2003. Keyword(s): image analysis, chamfer distance, norm constraint, anisotropic lattice, Farey triangulation.
    Abstract:
    Chamfer distances are widely used in image analysis, and many ways have been investigated to compute optimal chamfer mask coefficients. Unfortunately, these methods are not systematized: they have to be conducted manually for every mask size or image anisotropy. Since image acquisistion (e.g. medical imaging) can lead to anisotropic discrete grids with unpredictable anisotropy value, automated calculation of chamfer mask coefficients becomes mandatory for efficient distance map computation. This report presentes a systematized calculation of these coefficients based on the automatic construction of chamfer masks of any size associated with a triangulation that allows to derive analytically the relative error with respect to the Euclidean distance, in any 3-D anisotropic lattice and that also allows to compute norm constraints. 

    @techreport{fouard:RR:2003,
abstract = {Chamfer distances are widely used in image analysis, and many ways have been investigated to compute optimal chamfer mask coefficients. Unfortunately, these methods are not systematized: they have to be conducted manually for every mask size or image anisotropy. Since image acquisistion (e.g. medical imaging) can lead to anisotropic discrete grids with unpredictable anisotropy value, automated calculation of chamfer mask coefficients becomes mandatory for efficient distance map computation. This report presentes a systematized calculation of these coefficients based on the automatic construction of chamfer masks of any size associated with a triangulation that allows to derive analytically the relative error with respect to the Euclidean distance, in any 3-D anisotropic lattice and that also allows to compute norm constraints.},
author = {C\'eline Fouard and Gr\'egoire Malandain},
institution = {INRIA},
keywords = {image analysis, chamfer distance, norm constraint, anisotropic lattice, Farey triangulation},
number = {RR-4792},
% postscript = {ftp://ftp.inria.fr/INRIA/publication/publi-ps-gz/RR/RR-4792.ps.gz},
title = {Automatic calculation of chamfer mask coefficients for large masks and anisotropic images},
type = {Research report},
url= {https://hal.inria.fr/inria-00071794/document},
url-hal = {https://hal.inria.fr/inria-00071794/en/},
year = {2003} 
}


  4. Stéphane Nicolau, Xavier Pennec, Luc Soler, and Nicholas Ayache. Validation of a New 3D/2D Registration Criterion including Error Prediction. Application to Image Guided Radio-Frequency Ablation of the Liver Tumors. Research report RR-4993, INRIA, 2003. Keyword(s): Augmented Reality, 3D/2D Registration, Uncertainty Prediction, Tumors Liver Radio-frequencies Ablation. 
    @techreport{Nicolau:RR:2003,
author = {St\'ephane Nicolau and Xavier Pennec and Luc Soler and Nicholas Ayache},
hal-identifiant = {inria-00071585},
institution = {INRIA},
keywords = {Augmented Reality, 3D/2D Registration, Uncertainty Prediction, Tumors Liver Radio-frequencies Ablation},
number = {RR-4993},
title = {Validation of a New 3D/2D Registration Criterion including Error Prediction. Application to Image Guided Radio-Frequency Ablation of the Liver Tumors},
type = {Research report},
url-hal = {http://hal.inria.fr/inria-00071585/en/},
url-publisher = {http://www.inria.fr/rrrt/rr-4993.html},
year = {2003} 
}


  5. Alain Pitiot, Eric Bardinet, P. M. Thompson, and G. Malandain. Automated Piecewise Affine Registration of Biological Images. Research report RR-4866, INRIA, July 2003. Keyword(s): registration, matching, clustering, histology, MRI.
    Abstract:
    This report tackles the registration of 2D biological images (histological sections or autoradiographs) to 2D images from the same or different modalities (e.g., histology or MRI). The process of acquiring these images typically induces composite transformations that we model as a number of rigid or affine local transformations embedded in an elastic one. We propose a registration approach closely derived from this model. Given a pair of input images, we first compute a dense similarity field between them with a block matching algorithm. A hierarchical clustering algorithm then automatically partitions this field into a number of classes from which we extract independent pairs of sub-images. Our clustering algorithm relies on the Earth mover's distribution metric and is additionally guided by robust least-square estimation of the transformations associated with each cluster. Finally, the pairs of sub-images are, independently, affinely registered and a hybrid affine/non-linear interpolation scheme is used to compose the output registered image. We investigate the behavior of our approach under a variety of conditions, and discuss examples using simulated and real medical images, including MRI, autoradiography, histology and cryosection data. We also detail the reconstruction of a 3-D volume from a series of 2-D histological sections and compare it against a reconstruction obtained with a global rigid approach. 

    @techreport{pitiot:rr:2003,
abstract = {This report tackles the registration of 2D biological images (histological sections or autoradiographs) to 2D images from the same or different modalities (e.g., histology or MRI). The process of acquiring these images typically induces composite transformations that we model as a number of rigid or affine local transformations embedded in an elastic one. We propose a registration approach closely derived from this model. Given a pair of input images, we first compute a dense similarity field between them with a block matching algorithm. A hierarchical clustering algorithm then automatically partitions this field into a number of classes from which we extract independent pairs of sub-images. Our clustering algorithm relies on the Earth mover's distribution metric and is additionally guided by robust least-square estimation of the transformations associated with each cluster. Finally, the pairs of sub-images are, independently, affinely registered and a hybrid affine/non-linear interpolation scheme is used to compose the output registered image. We investigate the behavior of our approach under a variety of conditions, and discuss examples using simulated and real medical images, including MRI, autoradiography, histology and cryosection data. We also detail the reconstruction of a 3-D volume from a series of 2-D histological sections and compare it against a reconstruction obtained with a global rigid approach.},
author = {Alain Pitiot and Eric Bardinet and P. M. Thompson and G. Malandain},
hal-identifiant = {inria-00071717},
institution = {INRIA},
keywords = {registration, matching, clustering, histology, MRI},
month = {July},
number = {RR-4866},
title = {Automated Piecewise Affine Registration of Biological Images},
type = {Research report},
url-hal = {http://hal.inria.fr/inria-00071717/en/},
url-publisher = {http://www.inria.fr/rrrt/rr-4866.html},
year = {2003} 
}


Patents, standards

  1. M. A. González Ballester and Y. Machida. Parallel MR Imaging Using High-Precision Coil Sensitivity Map. U.S. Patent Application, number 98G33339, 2003. 
    @patent{Gonzalez:patent:2003,
address = {},
author = {Gonz\'alez Ballester, M. A. and Y. Machida},
note = {},
number = {U.S. Patent Application, number 98G33339},
optabstract = {},
optdoi = {},
opthal-date-depot = {},
opthal-identifiant = {},
opthal-version = {},
optisbn = {},
optissn = {},
optkeywords = {},
opturl = {},
opturl-publisher = {},
optx-scientific-popularization = {},
title = {Parallel MR Imaging Using High-Precision Coil Sensitivity Map},
x-language = {},
x-pays = {},
year = {2003} 
}


  2. Alexis Roche, Grégoire Malandain, Nicholas Ayache, and Xavier Pennec. Electronic device for automatic registration of images. US patent No US 6,539,127 B1, Mars 25, 2003, March 2003. 
    @patent{Roche:Patent:US:03,
address = {},
author = {Alexis Roche and Gr\'egoire Malandain and Nicholas Ayache and Xavier Pennec},
month = {March},
note = {},
number = {US patent No US 6,539,127 B1, Mars 25, 2003},
optabstract = {},
optdoi = {},
opthal-date-depot = {},
opthal-identifiant = {},
opthal-version = {},
optisbn = {},
optissn = {},
optkeywords = {},
opturl = {},
opturl-publisher = {},
optx-scientific-popularization = {},
title = {Electronic device for automatic registration of images},
x-language = {},
x-pays = {},
year = {2003} 
}


Miscellaneous

  1. Thibaut Bardyn. Modèles biomécaniques déformables : introduction de méthodes algébriques pour le calcul de la déformation. rapport de DEA, DEA Mathématiques, Vision, Apprentissage, École Normale Supérieure Cachan, 2003. 
    @mastersthesis{Bardyn:DEA:03,
author = {Thibaut Bardyn},
school = {DEA Math\'ematiques, Vision, Apprentissage, \'Ecole Normale Sup\'erieure Cachan},
title = {Mod\`eles biom\'ecaniques d\'eformables : introduction de m\'ethodes alg\'ebriques pour le calcul de la d\'eformation},
type = {rapport de DEA},
year = {2003} 
}


  2. Olivier Commowick. Utilisation d'atlas anatomiques numériques pour la cancérologie. rapport de DEA, DEA Mathématiques, Vision, Apprentissage, École Normale Supérieure Cachan, 2003. 
    @mastersthesis{commowick:DEA:03,
author = {Olivier Commowick},
school = {DEA Math\'ematiques, Vision, Apprentissage, \'Ecole Normale Sup\'erieure Cachan},
title = {Utilisation d'atlas anatomiques num\'eriques pour la canc\'erologie},
type = {rapport de DEA},
year = {2003} 
}


  3. C. Bensa, S. Chanalet, G. Malandain, C. Bertogliati, P. Bedoucha, M.N. Mauro, M. Chatel, and C. Lebrun. Sclérose en plaques et troubles cognitifs mineurs. Journées de Neurologie de Langue Française, April 2003. Note: Revue Neurologique, tome 159, page 2S63. Keyword(s): multiple sclerosis. 
    @misc{bensa:jnlf:2003,
author = {C. Bensa and S. Chanalet and G. Malandain and C. Bertogliati and P. Bedoucha and M.N. Mauro and M. Chatel and C. Lebrun},
howpublished = {Journ\'ees de Neurologie de Langue Fran\c{c}aise},
keywords = {multiple sclerosis},
month = {April},
note = {Revue Neurologique, tome 159, page 2S63},
title = {Scl\'erose en plaques et troubles cognitifs mineurs},
year = {2003} 
}


  4. C. Bensa, S. Chanalet, G. Malandain, C. Bertogliatti, P. Bedoucha, M.N. Magnié, M. Chatel, and C. Lebrun. Multiple sclerosis and mild cognitive impairment. 19th Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), September 2003. Note: Multiple Sclerosis, P545, pp S136. Keyword(s): multiple sclerosis. 
    @misc{bensa:ectrims:2003,
author = {C. Bensa and S. Chanalet and G. Malandain and C. Bertogliatti and P. Bedoucha and M.N. Magni\'e and M. Chatel and C. Lebrun},
howpublished = {19th Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS)},
keywords = {multiple sclerosis},
month = {September},
note = {Multiple Sclerosis, P545, pp S136},
title = {Multiple sclerosis and mild cognitive impairment},
year = {2003} 
}


  5. C. Lebrun, D. Rey, S. Chanalet, N. Ayache, M. Chatel, and G. Malandain. First validation experiments of a 3-D automatic algorithm based on a vector field analysis to detect and quantify volume variation of multiple sclerosis lesions. 19th Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), September 2003. Note: Multiple Sclerosis, P455, pp S112. Keyword(s): multiple sclerosis. 
    @misc{lebrun:ectrims:2003,
author = {C. Lebrun and D. Rey and S. Chanalet and N. Ayache and M. Chatel and G. Malandain},
howpublished = {19th Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS)},
keywords = {multiple sclerosis},
month = {September},
note = {Multiple Sclerosis, P455, pp S112},
title = {First validation experiments of a 3-D automatic algorithm based on a vector field analysis to detect and quantify volume variation of multiple sclerosis lesions},
year = {2003} 
}


  6. C. Lebrun, D. Rey, S. Chanalet, V. Bourg, M. Chatel, N. Ayache, and G. Malandain. Intérêt du recalage automatique des IRM cérébrales dans le suivi et la décision thérapeutique : application à la sclérose en plaques. 10èmes Journées Jean-Denis-Degos Thérapeutique et Neurologie, December 2003. Keyword(s): multiple sclerosis. 
    @misc{lebrun-rey:sfn:2003,
author = {C. Lebrun and D. Rey and S. Chanalet and V. Bourg and M. Chatel and N. Ayache and G. Malandain},
howpublished = {10\`emes Journ\'ees Jean-Denis-Degos Th\'erapeutique et Neurologie},
keywords = {multiple sclerosis},
month = {December},
organization = {Soci\'et\'e Fran\c{c}aise de Neurologie},
title = {Int\'er\^et du recalage automatique des IRM c\'er\'ebrales dans le suivi et la d\'ecision th\'erapeutique : application \`a la scl\'erose en plaques},
year = {2003} 
}



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