-
Vincent Arsigny,
Olivier Commowick,
Nicholas Ayache,
and Xavier Pennec.
A Fast and Log-Euclidean Polyaffine Framework for Locally Linear Registration.
Journal of Mathematical Imaging and Vision,
33(2):222-238,
2009.
@article{Arsigny:JMIV:09,
author = {Vincent Arsigny and Olivier Commowick and Nicholas Ayache and Xavier Pennec},
doi = {10.1007/s10851-008-0135-9},
journal = {Journal of Mathematical Imaging and Vision},
number = {2},
pages = {222-238},
title = {A Fast and Log-{Euclidean} Polyaffine Framework for Locally Linear Registration},
url = {https://www-sop.inria.fr/asclepios/Publications/Xavier.Pennec/Arsigny_JMIV_polyaffine.pdf},
url-hal = {https://hal.inria.fr/inria-00616084},
volume = {33},
x-editorial-board = {yes},
x-international-audience = {yes},
year = {2009}
}
-
Éric Bardinet,
Manik Bhattacharjee,
Didier Dormont,
Bernard Pidoux,
Grégoire Malandain,
Michael Schupbach,
Nicholas Ayache,
Philippe Cornu,
Yves Agid,
and Jerome Yelnik.
A three-dimensional histological atlas of the human basal ganglia. II. Atlas deformation strategy and evaluation in deep brain stimulation for Parkinson disease..
Journal of Neurosurgery,
110(2):208-19,
February 2009.
Keyword(s): Basal Ganglia,
pathology,
Brain Mapping,
methods,
Deep Brain Stimulation,
methods,
Humans,
Image Interpretation Computer-Assisted,
methods,
Imaging Three-Dimensional,
methods,
Magnetic Resonance Imaging,
methods,
Medical Illustration,
Microelectrodes,
Microscopy,
Parkinson Disease,
pathology,
Red Nucleus,
pathology,
Sensitivity and Specificity,
Substantia Nigra,
pathology,
Subthalamic Nucleus,
pathology.
Abstract: |
OBJECT: The localization of any given target in the brain has become a challenging issue because of the increased use of deep brain stimulation to treat Parkinson disease, dystonia, and nonmotor diseases (for example, Tourette syndrome, obsessive compulsive disorders, and depression). The aim of this study was to develop an automated method of adapting an atlas of the human basal ganglia to the brains of individual patients. METHODS: Magnetic resonance images of the brain specimen were obtained before extraction from the skull and histological processing. Adaptation of the atlas to individual patient anatomy was performed by reshaping the atlas MR images to the images obtained in the individual patient using a hierarchical registration applied to a region of interest centered on the basal ganglia, and then applying the reshaping matrix to the atlas surfaces. RESULTS: Results were evaluated by direct visual inspection of the structures visible on MR images and atlas anatomy, by comparison with electrophysiological intraoperative data, and with previous atlas studies in patients with Parkinson disease. The method was both robust and accurate, never failing to provide an anatomically reliable atlas to patient registration. The registration obtained did not exceed a 1-mm mismatch with the electrophysiological signatures in the region of the subthalamic nucleus. CONCLUSIONS: This registration method applied to the basal ganglia atlas forms a powerful and reliable method for determining deep brain stimulation targets within the basal ganglia of individual patients. |
@article{bardinet:jn:2009,
abstract = {OBJECT: The localization of any given target in the brain has become a challenging issue because of the increased use of deep brain stimulation to treat Parkinson disease, dystonia, and nonmotor diseases (for example, Tourette syndrome, obsessive compulsive disorders, and depression). The aim of this study was to develop an automated method of adapting an atlas of the human basal ganglia to the brains of individual patients. METHODS: Magnetic resonance images of the brain specimen were obtained before extraction from the skull and histological processing. Adaptation of the atlas to individual patient anatomy was performed by reshaping the atlas MR images to the images obtained in the individual patient using a hierarchical registration applied to a region of interest centered on the basal ganglia, and then applying the reshaping matrix to the atlas surfaces. RESULTS: Results were evaluated by direct visual inspection of the structures visible on MR images and atlas anatomy, by comparison with electrophysiological intraoperative data, and with previous atlas studies in patients with Parkinson disease. The method was both robust and accurate, never failing to provide an anatomically reliable atlas to patient registration. The registration obtained did not exceed a 1-mm mismatch with the electrophysiological signatures in the region of the subthalamic nucleus. CONCLUSIONS: This registration method applied to the basal ganglia atlas forms a powerful and reliable method for determining deep brain stimulation targets within the basal ganglia of individual patients. },
author = {\'Eric Bardinet and Manik Bhattacharjee and Didier Dormont and Bernard Pidoux and Gr\'egoire Malandain and Michael Schupbach and Nicholas Ayache and Philippe Cornu and Yves Agid and Jerome Yelnik},
journal = {Journal of Neurosurgery},
keywords = {Basal Ganglia, pathology, Brain Mapping, methods, Deep Brain Stimulation, methods, Humans, Image Interpretation Computer-Assisted, methods, Imaging Three-Dimensional, methods, Magnetic Resonance Imaging, methods, Medical Illustration, Microelectrodes, Microscopy, Parkinson Disease, pathology, Red Nucleus, pathology, Sensitivity and Specificity, Substantia Nigra, pathology, Subthalamic Nucleus, pathology},
month = {February},
number = {2},
pages = {208-19},
title = {A three-dimensional histological atlas of the human basal ganglia. II. Atlas deformation strategy and evaluation in deep brain stimulation for Parkinson disease.},
url = {https://www-sop.inria.fr/asclepios/Publications/Bardinet/bardinet-jn-2008.pdf},
url-hal = {https://hal.inria.fr/inria-00616085},
volume = {110},
x-editorial-board = {yes},
x-international-audience = {yes},
x-scientific-popularization = {no},
year = {2009}
}
-
Caroline Brun,
Natasha Leporé,
Xavier Pennec,
Agatha D Lee,
Marina Barysheva,
Sarah K Madsen,
Christina Avedissian,
Yi-Yu Chou,
Greig I. de Zubicaray,
Katie McMahon,
Margaret Wright,
Arthur W. Toga,
and Paul M. Thompson.
Mapping the Regional Influence of Genetics on Brain Structure Variability - A Tensor-Based Morphometry Study.
NeuroImage,
48(1):37-49,
October 2009.
@article{Brun:NeuroImage:09,
author = {Caroline Brun and Natasha Lepor\'e and Xavier Pennec and Agatha D Lee and Marina Barysheva and Sarah K Madsen and Christina Avedissian and Yi-Yu Chou and de Zubicaray, Greig I. and Katie McMahon and Margaret Wright and Arthur W. Toga and Paul M. Thompson},
doi = {10.1016/j.neuroimage.2009.05.022},
journal = {NeuroImage},
month = {October},
number = {1},
pages = {37-49},
pmid = {19446645},
title = {Mapping the Regional Influence of Genetics on Brain Structure Variability - A Tensor-Based Morphometry Study},
url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859973/pdf/nihms126680.pdf},
volume = {48},
x-editorial-board = {yes},
x-international-audience = {yes},
x-pays = {US,AU},
x-scientific-popularization = {no},
year = {2009}
}
-
Jaydev P. Desai and Nicholas Ayache.
Editorial: Special Issue on Medical Robotics.
International Journal of Robotics Research,
28(9):1099-1100,
2009.
@article{desai:ijrr:2009,
author = {Jaydev P. Desai and Nicholas Ayache},
journal = {International Journal of Robotics Research},
number = {9},
pages = {1099-1100},
title = {Editorial: Special Issue on Medical Robotics},
url = {https://www-sop.inria.fr/asclepios/Publications-tracked/Nicholas.Ayache/AyacheRobotics.pdf},
url-hal = {https://hal.inria.fr/inria-00616092},
volume = {28},
year = {2009}
}
-
Stanley Durrleman,
Xavier Pennec,
Alain Trouvé,
and Nicholas Ayache.
Statistical Models on Sets of Curves and Surfaces based on Currents.
Medical Image Analysis,
13(5):793-808,
October 2009.
@article{Durrleman:Media:09,
author = {Stanley Durrleman and Xavier Pennec and Alain Trouv\'e and Nicholas Ayache},
doi = {10.1016/j.media.2009.07.007},
journal = {Medical Image Analysis},
month = {October},
number = {5},
pages = {793-808},
pmid = {19679507},
title = {Statistical Models on Sets of Curves and Surfaces based on Currents},
url = {https://www-sop.inria.fr/asclepios/Publications/Stanley.Durrleman/Durrleman_MedIA_09.pdf},
volume = {13},
x-editorial-board = {yes},
x-international-audience = {yes},
x-scientific-popularization = {no},
year = {2009}
}
-
Heike Hufnagel,
Jan Ehrhardt,
Xavier Pennec,
Nicholas Ayache,
and Heinz Handels.
Computation of a Probabilistic Statistical Shape Model in a Maximum-a-posteriori Framework.
Methods of Information in Medicine,
48(4):314-319,
2009.
@article{Hufnagel:MIM:09,
author = {Heike Hufnagel and Jan Ehrhardt and Xavier Pennec and Nicholas Ayache and Heinz Handels},
doi = {10.3414/ME9228},
journal = {Methods of Information in Medicine},
number = {4},
pages = {314-319},
pmid = {19562228},
title = {Computation of a Probabilistic Statistical Shape Model in a Maximum-a-posteriori Framework},
url = {https://www-sop.inria.fr/asclepios/Publications/Heike.Hufnagel/Hufnagel_MIM09.pdf},
volume = {48},
x-editorial-board = {yes},
x-international-audience = {yes},
x-pays = {DE},
year = {2009}
}
-
Arno Klein,
Jesper Andersson,
Babak A. Ardekani,
John Ashburner,
Brian Avants,
Ming-Chang Chiang,
Gary E. Christensen,
D. Louis Collins,
Pierre Hellier,
Joo Hyun Song,
Mark Jenkinson,
Claude Lepage,
Daniel Rueckert,
Paul M. Thompson,
Tom Vercauteren,
Roger P. Woods,
J. John Mann,
and Ramin V. Parsey.
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.
NeuroImage,
46(3):786-802,
July 2009.
@article{Klein:NeuroImage:09,
author = {Arno Klein and Jesper Andersson and Babak A. Ardekani and John Ashburner and Brian Avants and Ming-Chang Chiang and Gary E. Christensen and D. Louis Collins and Pierre Hellier and Joo Hyun Song and Mark Jenkinson and Claude Lepage and Daniel Rueckert and Paul M. Thompson and Tom Vercauteren and Roger P. Woods and J. John Mann and Ramin V. Parsey},
doi = {10.1016/j.neuroimage.2008.12.037},
hal-identifiant = {inserm-00360790},
journal = {NeuroImage},
month = {July},
number = {3},
pages = {786--802},
pmid = {19195496},
title = {Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration},
url = {https://www-sop.inria.fr/asclepios/Publications/Tom.Vercauteren/Eval14NonlinearRegistration-Klein-NeuroImage09.pdf},
url-hal = {http://www.hal.inserm.fr/inserm-00360790},
url-publisher = {http://www.mindboggle.info/papers/},
volume = {46},
x-editorial-board = {yes},
x-international-audience = {yes},
x-pays = {US,GB,CA},
x-scientific-popularization = {no},
year = {2009}
}
-
S. Nicolau,
Xavier Pennec,
Luc Soler,
X. Buy,
A. Gangi,
Nicholas Ayache,
and J. Marescaux.
An Augmented Reality System for Liver Thermal Ablation: Design and Evaluation on Clinical Cases.
Medical Image Analysis,
13(3):494-506,
June 2009.
@article{Nicolau:Media:09,
author = {S. Nicolau and Xavier Pennec and Luc Soler and X. Buy and A. Gangi and Nicholas Ayache and J. Marescaux},
doi = {10.1016/j.media.2009.02.003},
journal = {Medical Image Analysis},
month = {June},
number = {3},
pages = {494--506},
title = {An Augmented Reality System for Liver Thermal Ablation: Design and Evaluation on Clinical Cases},
url = {https://www-sop.inria.fr/asclepios/Publications/Xavier.Pennec/Nicolau_MEDIA_09.pdf},
volume = {13},
x-editorial-board = {yes},
x-international-audience = {yes},
year = {2009}
}
-
Mihaela Pop,
Maxime Sermesant,
D Lepiller,
M V Truong,
Elliot McVeigh,
Eugene Crystal,
Alexander Dick,
Hervé Delingette,
Nicholas Ayache,
and Graham Wright.
Fusion of optical imaging and MRI for the evaluation and adjustment of macroscopic models of cardiac electrophysiology: A feasibility study.
Medical Image Analysis,
13(2):370-80,
April 2009.
@article{Pop:2009:MedIA,
author = {Mihaela Pop and Maxime Sermesant and D Lepiller and M V Truong and Elliot McVeigh and Eugene Crystal and Alexander Dick and Herv\'e Delingette and Nicholas Ayache and Graham Wright},
journal = {Medical Image Analysis},
month = {April},
number = {2},
pages = {370-80},
title = {Fusion of optical imaging and MRI for the evaluation and adjustment of macroscopic models of cardiac electrophysiology: A feasibility study},
url = {https://www-sop.inria.fr/asclepios/Publications/Maxime.Sermesant/MEDIA2008Pop.pdf},
url-hal = {https://hal.inria.fr/inria-00616087},
volume = {13},
x-editorial-board = {yes},
x-international-audience = {yes},
x-pays = {GB,US,CA},
year = {2009}
}
-
R Sims,
A Isambert,
V Gregoire,
F Bidault,
L Fresco,
J Sage,
J Mills,
J Bourhis,
D Lefkopoulos,
Olivier Commowick,
M Benkebil,
and Grégoire Malandain.
A pre-clinical assessment of an atlas-based automatic segmentation tool for the head and neck.
Radiotherapy Oncology,
93(3):474-8,
December 2009.
Abstract: |
BACKGROUND AND PURPOSE: Accurate conformal radiotherapy treatment requires manual delineation of target volumes and organs at risk (OAR) that is both time-consuming and subject to large inter-user variability. One solution is atlas-based automatic segmentation (ABAS) where a priori information is used to delineate various organs of interest. The aim of the present study is to establish the accuracy of one such tool for the head and neck (H&N) using two different evaluation methods. MATERIALS AND METHODS: Two radiotherapy centres were provided with an ABAS tool that was used to outline the brainstem, parotids and mandible on several patients. The results were compared to manual delineations for the first centre (EM1) and reviewed/edited for the second centre (EM2), both of which were deemed as equally valid gold standards. The contours were compared in terms of their volume, sensitivity and specificity with the results being interpreted using the Dice similarity coefficient and a receiver operator characteristic (ROC) curve. RESULTS: Automatic segmentation took typically approximately 7min for each patient on a standard PC. The results indicated that the atlas contour volume was generally within +/-1SD of each gold standard apart from the parotids for EM1 and brainstem for EM2 that were over- and under-estimated, respectively (within +/-2SD). The similarity of the atlas contours with their respective gold standard was satisfactory with an average Dice coefficient for all OAR of 0.68+/-0.25 for EM1 and 0.82+/-0.13 for EM2. All data had satisfactory sensitivity and specificity resulting in a favourable position in ROC space. CONCLUSIONS: These tests have shown that the ABAS tool exhibits satisfactory sensitivity and specificity for the OAR investigated. There is, however, a systematic over-segmentation of the parotids (EM1) and under-segmentation of the brainstem (EM2) that require careful review and editing in the majority of cases. Such issues have been discussed with the software manufacturer and a revised version is due for release. |
@article{sims:ro:2009,
abstract = {BACKGROUND AND PURPOSE: Accurate conformal radiotherapy treatment requires manual delineation of target volumes and organs at risk (OAR) that is both time-consuming and subject to large inter-user variability. One solution is atlas-based automatic segmentation (ABAS) where a priori information is used to delineate various organs of interest. The aim of the present study is to establish the accuracy of one such tool for the head and neck (H&N) using two different evaluation methods. MATERIALS AND METHODS: Two radiotherapy centres were provided with an ABAS tool that was used to outline the brainstem, parotids and mandible on several patients. The results were compared to manual delineations for the first centre (EM1) and reviewed/edited for the second centre (EM2), both of which were deemed as equally valid gold standards. The contours were compared in terms of their volume, sensitivity and specificity with the results being interpreted using the Dice similarity coefficient and a receiver operator characteristic (ROC) curve. RESULTS: Automatic segmentation took typically approximately 7min for each patient on a standard PC. The results indicated that the atlas contour volume was generally within +/-1SD of each gold standard apart from the parotids for EM1 and brainstem for EM2 that were over- and under-estimated, respectively (within +/-2SD). The similarity of the atlas contours with their respective gold standard was satisfactory with an average Dice coefficient for all OAR of 0.68+/-0.25 for EM1 and 0.82+/-0.13 for EM2. All data had satisfactory sensitivity and specificity resulting in a favourable position in ROC space. CONCLUSIONS: These tests have shown that the ABAS tool exhibits satisfactory sensitivity and specificity for the OAR investigated. There is, however, a systematic over-segmentation of the parotids (EM1) and under-segmentation of the brainstem (EM2) that require careful review and editing in the majority of cases. Such issues have been discussed with the software manufacturer and a revised version is due for release.},
author = {R Sims and A Isambert and V Gregoire and F Bidault and L Fresco and J Sage and J Mills and J Bourhis and D Lefkopoulos and Olivier Commowick and M Benkebil and Gr\'egoire Malandain},
journal = {Radiotherapy Oncology},
month = {December},
number = {3},
pages = {474-8},
title = {A pre-clinical assessment of an atlas-based automatic segmentation tool for the head and neck},
url = {https://www-sop.inria.fr/asclepios/Publications/Gregoire.Malandain/sims-ro-2009.pdf},
url-hal = {https://hal.inria.fr/inria-00616090},
volume = {93},
x-editorial-board = {yes},
x-international-audience = {yes},
x-pays = {GB,BE,CA},
year = {2009}
}
-
Jean-Christophe Souplet,
Christine Lebrun,
Stéphane Chanalet,
Nicholas Ayache,
and Grégoire Malandain.
Revue des approches de segmentation des lésions de sclérose en plaques dans les séquences conventionnelles IRM.
Revue Neurologique,
165(1):7-14,
2009.
Note: In french.
@article{Souplet:RevNeurol:09,
author = {Jean-Christophe Souplet and Christine Lebrun and St\'ephane Chanalet and Nicholas Ayache and Gr\'egoire Malandain},
journal = {Revue Neurologique},
note = {In french},
number = {1},
pages = {7--14},
title = {Revue des approches de segmentation des l\'esions de scl\'erose en plaques dans les s\'equences conventionnelles IRM},
url = {https://www-sop.inria.fr/asclepios/Publications/Jean-Christophe.Souplet/souplet-rn-2009.pdf},
volume = {165},
x-editorial-board = {yes},
x-international-audience = {no},
year = {2009}
}
-
Tom Vercauteren,
Xavier Pennec,
Aymeric Perchant,
and Nicholas Ayache.
Diffeomorphic Demons: Efficient Non-parametric Image Registration.
NeuroImage,
45(1, Supp.1):S61-S72,
March 2009.
@article{Vercauteren:NeuroImage:09,
author = {Tom Vercauteren and Xavier Pennec and Aymeric Perchant and Nicholas Ayache},
doi = {10.1016/j.neuroimage.2008.10.040},
hal-identifiant = {inserm-00349600},
journal = {NeuroImage},
month = {March},
number = {1, Supp.1},
pages = {S61--S72},
pmid = {19041946},
title = {Diffeomorphic Demons: Efficient Non-parametric Image Registration},
url = {https://www-sop.inria.fr/asclepios/Publications/Tom.Vercauteren/DiffeoDemons-NeuroImage08-Vercauteren.pdf},
url-hal = {http://hal.inria.fr/inserm-00349600/en/},
volume = {45},
x-editorial-board = {yes},
x-international-audience = {yes},
x-scientific-popularization = {no},
year = {2009}
}
-
Boon Thye Thomas Yeo,
Tom Vercauteren,
Pierre Fillard,
Jean-Marc Peyrat,
Xavier Pennec,
Polina Golland,
Nicholas Ayache,
and Olivier Clatz.
DT-REFinD: Diffusion Tensor Registration with Exact Finite-Strain Differential.
IEEE Transactions on Medical Imaging,
28(12):1914-1928,
December 2009.
Note: PMID:19556193.
@article{Yeo:TMI:09,
author = {Boon Thye Thomas Yeo and Tom Vercauteren and Pierre Fillard and Jean-Marc Peyrat and Xavier Pennec and Polina Golland and Nicholas Ayache and Olivier Clatz},
doi = {10.1109/TMI.2009.2025654},
hal-identifiant = {inria-00502720},
journal = {IEEE Transactions on Medical Imaging},
month = {December},
note = {PMID:19556193},
number = {12},
pages = {1914--1928},
title = {{DT-REFinD}: Diffusion Tensor Registration with Exact Finite-Strain Differential},
url = {http://people.csail.mit.edu/ythomas/publications/2009DTI-TMI.pdf},
url-hal = {http://hal.inria.fr/inria-00502720/en/},
url-publisher = {http://sites.google.com/site/yeoyeo02/software/dt-refindcode},
volume = {28},
x-editorial-board = {yes},
x-international-audience = {yes},
x-pays = {US},
x-scientific-popularization = {no},
year = {2009}
}
-
Nicholas Ayache,
Olivier Clatz,
Hervé Delingette,
Grégoire Malandain,
Xavier Pennec,
and Maxime Sermesant.
Asclepios: a Research Project-Team at INRIA for the Analysis and Simulation of Biomedical Images.
In Y. Bertot,
G. Huet,
J.-J. Lévy,
and G. Plotkin, editors, From semantics to computer science: essays in honor of Gilles Kahn,
pages 415-436.
Cambridge University Press,
2009.
@incollection{ayache:kahn:2009,
author = {Nicholas Ayache and Olivier Clatz and Herv\'e Delingette and Gr\'egoire Malandain and Xavier Pennec and Maxime Sermesant},
booktitle = {From semantics to computer science: essays in honor of Gilles Kahn},
editor = {Y. Bertot and G. Huet and J.-J. L\'evy and G. Plotkin},
pages = {415-436},
publisher = {Cambridge University Press},
title = {Asclepios: a Research Project-Team at INRIA for the Analysis and Simulation of Biomedical Images},
url = {https://www-sop.inria.fr/asclepios/Publications/Nicholas.Ayache/Colloquium-Gilles-Kahn-NA-2007-v5.pdf},
url-hal = {https://hal.inria.fr/inria-00616094},
url-publisher = {http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521518253},
x-international-audience = {yes},
year = {2009}
}
-
C. Germain-Renaud,
V. Breton,
P. Clarysse,
B. Delhay,
Y. Gaudeau,
T. Glatard,
E. Jannot,
Y. Legré,
Johan Montagnat,
J.-M. Moureau,
A. Osorio,
Xavier Pennec,
J. Schaerer,
and R. Texier.
Grid Analysis of Radiological Data.
In Mario Cannataro, editor, Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare,
pages 363-391.
IGI Global,
2009.
Note: IGI-Global Medical Information Science Discoveries Research Award 2009.
@incollection{Germain:HRCG:09,
author = {C. Germain-Renaud and V. Breton and P. Clarysse and B. Delhay and Y. Gaudeau and T. Glatard and E. Jannot and Y. Legr\'e and Johan Montagnat and J.-M. Moureau and A. Osorio and Xavier Pennec and J. Schaerer and R. Texier},
booktitle = {Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare},
doi = {10.4018/978-1-60566-374-6.ch019},
editor = {Cannataro, Mario},
note = {IGI-Global Medical Information Science Discoveries Research Award 2009},
pages = {363-391},
publisher = {IGI Global},
title = {Grid Analysis of Radiological Data},
url-hal = {https://hal.archives-ouvertes.fr/hal-00683992},
url-publisher = {http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=35703},
x-international-audience = {yes},
year = {2009}
}
-
Tommaso Mansi,
Barbara André,
Michael Lynch,
Maxime Sermesant,
Hervé Delingette,
Younes Boudjemline,
and Nicholas Ayache.
Virtual Pulmonary Valve Replacement Interventions with a Personalised Cardiac Electromechanical Model.
In Nadia Magnenat-Thalmann,
Jian J. Zhang,
and David D. Feng, editors, Recent Advances in the 3D Physiological Human,
pages 201-210.
Springer,
November 2009.
ISBN: 978-1-84882-564-2.
@incollection{Mansi:3DPH:08,
author = {Tommaso Mansi and Barbara Andr\'e and Michael Lynch and Maxime Sermesant and Herv\'e Delingette and Younes Boudjemline and Nicholas Ayache},
booktitle = {Recent Advances in the 3D Physiological Human},
editor = {Magnenat-Thalmann, Nadia and Zhang, Jian J. and Feng, David D.},
isbn = {978-1-84882-564-2},
month = {November},
pages = {201-210},
publisher = {Springer},
title = {Virtual Pulmonary Valve Replacement Interventions with a Personalised Cardiac Electromechanical Model},
url = {https://www-sop.inria.fr/asclepios/Publications/Tommaso.Mansi/mansi093DPH.pdf},
url-hal = {https://hal.inria.fr/inria-00616095},
x-editorial-board = {yes},
x-international-audience = {yes},
x-proceedings = {yes},
year = {2009}
}
-
Jérôme Schmid,
Anders Sandholm,
François Chung,
Daniel Thalmann,
Hervé Delingette,
and Nadia Magnenat-Thalmann.
Musculoskeletal simulation model generation from MRI datasets and motion capture data.
In Nadia Magnenat-Thalmann,
Jian J. Zhang,
and David D. Feng, editors, Recent Advances in the 3D Physiological Human,
pages 3-19.
Springer,
February 2009.
ISBN: 978-1-84882-564-2.
@incollection{Schmid:3DPH:08,
author = {J\'er\^ome Schmid and Anders Sandholm and Fran\c{c}ois Chung and Daniel Thalmann and Herv\'e Delingette and Nadia Magnenat-Thalmann},
booktitle = {Recent Advances in the 3D Physiological Human},
editor = {Magnenat-Thalmann, Nadia and Zhang, Jian J. and Feng, David D.},
isbn = {978-1-84882-564-2},
month = {February},
pages = {3-19},
publisher = {Springer},
title = {Musculoskeletal simulation model generation from MRI datasets and motion capture data},
url = {https://www-sop.inria.fr/asclepios/Publications/Francois.Chung/musculoskeletal_simulation_model_generation_from_mri_datasets_and_motion_capture_data.pdf},
url-hal = {https://hal.inria.fr/inria-00616096},
x-editorial-board = {yes},
x-international-audience = {yes},
x-pays = {CH},
year = {2009}
}
-
Christof Seiler,
P. Büchler,
L.-P. Nolte,
R. Paulsen,
and Mauricio Reyes.
Hierarchical Markov Random Fields Applied to Model Soft Tissue Deformations on Graphics Hardware.
In J. J. Zhang N. Magnenat-Thalmann and D. D. Feng, editors, Recent Advances in the 3D Physiological Human,
pages 133-148.
Springer,
2009.
ISBN: 978-1-84882-564-2.
@incollection{Seiler:3DPH:09,
author = {Christof Seiler and P. B\"uchler and L.-P. Nolte and R. Paulsen and Mauricio Reyes},
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-
Barbara André,
Tom Vercauteren,
Aymeric Perchant,
Michael B. Wallace,
Anna M. Buchner,
and Nicholas Ayache.
Endomicroscopic image retrieval and classification using invariant visual features.
In Proceedings of the Sixth IEEE International Symposium on Biomedical Imaging 2009 (ISBI'09),
Boston, MA,
pages 346-349,
August 2009.
IEEE.
@inproceedings{Andre:ISBI:09,
address = {Boston, MA},
author = {Barbara Andr\'e and Tom Vercauteren and Aymeric Perchant and Michael B. Wallace and Anna M. Buchner and Nicholas Ayache},
booktitle = {Proceedings of the Sixth IEEE International Symposium on Biomedical Imaging 2009 (ISBI'09)},
doi = {10.1109/ISBI.2009.5193055},
month = {August},
pages = {346--349},
publisher = {IEEE},
title = {Endomicroscopic image retrieval and classification using invariant visual features},
url = {https://www-sop.inria.fr/asclepios/Publications/Barbara.Andre/andre09ISBI.pdf},
url-hal = {https://hal.inria.fr/inria-00616140},
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-
Barbara André,
Tom Vercauteren,
Aymeric Perchant,
Michael B. Wallace,
Anna M. Buchner,
and Nicholas Ayache.
Introducing space and time in local feature-based endomicroscopic image retrieval.
In Proceedings of the MICCAI Workshop - Medical Content-based Retrieval for Clinical Decision (MCBR-CDS'09),
volume 5853 of Lecture Notes in Computer Science,
pages 18-30,
February 2009.
Springer.
@inproceedings{Andre:mcbrcds:09,
author = {Barbara Andr\'e and Tom Vercauteren and Aymeric Perchant and Michael B. Wallace and Anna M. Buchner and Nicholas Ayache},
booktitle = {Proceedings of the MICCAI Workshop - Medical Content-based Retrieval for Clinical Decision (MCBR-CDS'09)},
doi = {10.1007/978-3-642-11769-5_2},
month = {February},
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publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Introducing space and time in local feature-based endomicroscopic image retrieval},
url = {https://www-sop.inria.fr/asclepios/Publications/Barbara.Andre/Barbara_MCBR-CDS_09.pdf},
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-
Florence Billet,
Maxime Sermesant,
Hervé Delingette,
and Nicholas Ayache.
Cardiac Motion Recovery and Boundary Conditions Estimation by Coupling an Electromechanical Model and Cine-MRI Data.
In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09),
volume 5528 of LNCS,
pages 376-385,
3-5 June 2009.
@inproceedings{Billet:FIMH:09,
author = {Florence Billet and Maxime Sermesant and Herv\'e Delingette and Nicholas Ayache},
booktitle = {Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09)},
month = {3-5 June},
pages = {376-385},
series = {LNCS},
title = {Cardiac Motion Recovery and Boundary Conditions Estimation by Coupling an Electromechanical Model and Cine-MRI Data},
url = {https://www-sop.inria.fr/asclepios/Publications/Florence.Billet/fimh09-CardiacMotionRecovery.pdf},
url-hal = {https://hal.inria.fr/inria-00616137},
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-
R. Blanc,
Mauricio Reyes,
Christof Seiler,
and G. Székely.
Conditional Variability of Statistical Shape Models Based on Surrogate Variables.
In Proceedings of Medical Image Computing and Computer Assisted Intervention 2009 (MICCAI),
volume 5762 of LNCS,
pages 84-91,
September 2009.
Springer, Heidelberg.
@inproceedings{BlancSeiler:MICCAI:09,
author = {R. Blanc and Mauricio Reyes and Christof Seiler and G. Sz\'ekely},
booktitle = {Proceedings of Medical Image Computing and Computer Assisted Intervention 2009 (MICCAI)},
month = {September},
pages = {84-91},
publisher = {Springer, Heidelberg},
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url-hal = {https://hal.inria.fr/hal-00813743},
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-
C.C. Brun,
N. Leporé,
X. Pennec,
Yi-Yu Chou,
A.D. Lee,
M. Barysheva,
G.I. de Zubicaray,
K.L. McMahon,
M.J. Wright,
A.W. Toga,
and P.M. Thompson.
A Lagrangian formulation for statistical fluid registration.
In Proceedings of the Sixth IEEE International Symposium on Biomedical Imaging 2009 (ISBI'09),
pages 975-978,
2009.
IEEE.
@inproceedings{Brun:ISBI:09,
author = {C.C. Brun and N. Lepor\'e and X. Pennec and Yi-Yu Chou and A.D. Lee and M. Barysheva and de Zubicaray, G.I. and K.L. McMahon and M.J. Wright and A.W. Toga and P.M. Thompson},
booktitle = {Proceedings of the Sixth IEEE International Symposium on Biomedical Imaging 2009 (ISBI'09)},
doi = {10.1109/ISBI.2009.5193217},
pages = {975--978},
publisher = {IEEE},
title = {A Lagrangian formulation for statistical fluid registration},
url = {https://www-sop.inria.fr/asclepios/Publications/Xavier.Pennec/Brun.ISBI2009.pdf},
url-hal = {https://hal.inria.fr/inria-00616141},
x-editorial-board = {yes},
x-international-audience = {yes},
x-pays = {US},
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-
François Chung and Hervé Delingette.
Multimodal Prior Appearance Models based on Regional Clustering of Intensity Profiles.
In Guang-Zhong Yang,
David Hawkes,
Daniel Rueckert,
Alison Noble,
and Chris Taylor, editors,
Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part II,
volume 5762 of Lecture Notes in Computer Science,
London, UK,
pages 1051-1058,
September 2009.
Springer.
@inproceedings{Chung:MICCAI:09,
address = {London, UK},
author = {Fran\c{c}ois Chung and Herv\'e Delingette},
booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part II},
editor = {Guang-Zhong Yang and David Hawkes and Daniel Rueckert and Alison Noble and Chris Taylor},
month = {September},
pages = {1051--1058},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Multimodal Prior Appearance Models based on Regional Clustering of Intensity Profiles},
url = {https://www-sop.inria.fr/asclepios/Publications/Francois.Chung/multimodal_prior_appearance_models_based_on_regional_clustering_of_intensity_profiles.pdf},
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-
François Chung,
Jérôme Schmid,
Olivier Clatz,
Nadia Magnenat-Thalmann,
and Hervé Delingette.
Reconstruction 3D des structures anatomiques des membres inférieurs.
In ORASIS'09,
June 2009.
@inproceedings{Chung:ORASIS:09,
author = {Fran\c{c}ois Chung and J\'er\^ome Schmid and Olivier Clatz and Nadia Magnenat-Thalmann and Herv\'e Delingette},
booktitle = {ORASIS'09},
hal-identifiant = {inria-00404638},
month = {June},
title = {Reconstruction 3D des structures anatomiques des membres inf\'erieurs},
url = {https://www-sop.inria.fr/asclepios/Publications/Francois.Chung/reconstruction_3d_des_structures_anatomiques_des_membres_inferieurs.pdf},
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}
-
Olivier Commowick,
Simon K. Warfield,
and Grégoire Malandain.
Using Frankenstein's Creature Paradigm to Build a Patient Specific Atlas.
In Guang-Zhong Yang,
David Hawkes,
Daniel Rueckert,
Alison Noble,
and Chris Taylor, editors,
Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part II,
volume 5762 of Lecture Notes in Computer Science,
London, UK,
pages 993-1000,
September 2009.
Springer.
@inproceedings{Commowick:MICCAI:09,
address = {London, UK},
author = {Olivier Commowick and Simon K. Warfield and Gr\'egoire Malandain},
booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part II},
editor = {Guang-Zhong Yang and David Hawkes and Daniel Rueckert and Alison Noble and Chris Taylor},
month = {September},
pages = {993--1000},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Using Frankenstein's Creature Paradigm to Build a Patient Specific Atlas},
url = {https://www-sop.inria.fr/asclepios/Publications/Olivier.Commowick/CommowickMiccai2009.pdf},
url-hal = {https://hal.inria.fr/inria-00616133},
volume = {5762},
x-editorial-board = {yes},
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-
Stanley Durrleman,
Pierre Fillard,
Xavier Pennec,
Alain Trouvé,
and Nicholas Ayache.
A Statistical Model of White Matter Fiber Bundles based on Currents.
In Jerry L. Prince,
Dzung L. Pham,
and Kyle J. Myers, editors,
Proceedings of Information Processing in Medical Imaging (IPMI'09),
volume 5636 of LNCS,
pages 114-125,
2009.
@inproceedings{Durrleman:IPMI:09,
author = {Stanley Durrleman and Pierre Fillard and Xavier Pennec and Alain Trouv\'e and Nicholas Ayache},
booktitle = {Proceedings of Information Processing in Medical Imaging (IPMI'09)},
doi = {10.1007/978-3-642-02498-6_10},
editor = {Jerry L. Prince and Dzung L. Pham and Kyle J. Myers},
hal-identifiant = {inria-00502721},
pages = {114-125},
pmid = {19694257},
series = {LNCS},
title = {A Statistical Model of White Matter Fiber Bundles based on Currents},
url = {https://www-sop.inria.fr/asclepios/Publications/Stanley.Durrleman/DurrlemanIPMI09.pdf},
url-hal = {http://hal.inria.fr/inria-00502721/en/},
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-
Stanley Durrleman,
Xavier Pennec,
Alain Trouvé,
Guido Gerig,
and Nicholas Ayache.
Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets.
In Guang-Zhong Yang,
David Hawkes,
Daniel Rueckert,
Alison Noble,
and Chris Taylor, editors,
Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part I,
volume 5761 of Lecture Notes in Computer Science,
London, UK,
pages 297-304,
September 2009.
Springer.
@inproceedings{Durrleman:MICCAI:09,
address = {London, UK},
author = {Stanley Durrleman and Xavier Pennec and Alain Trouv\'e and Guido Gerig and Nicholas Ayache},
booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part I},
doi = {10.1007/978-3-642-04268-3_37},
editor = {Guang-Zhong Yang and David Hawkes and Daniel Rueckert and Alison Noble and Chris Taylor},
month = {September},
pages = {297--304},
pmid = {20426000},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets},
url = {https://www-sop.inria.fr/asclepios/Publications/Stanley.Durrleman/MICCAI09_Durrleman.pdf},
url-hal = {https://hal.inria.fr/inria-00408293},
volume = {5761},
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}
-
V. Gorbunova,
Stanley Durrleman,
P. Lo,
Xavier Pennec,
and M. de Bruijne.
Curve- and surface-based registration of lung CT images via currents.
In M. Brown,
M. de Bruijne,
B. van Ginneken,
A. Kiraly,
J.M. Kuhnigk,
C. Lorenz,
J.R. McClelland,
K. Mori,
A.P. Reeves,
and J. Reinhardt, editors,
Proc. of Second International Workshop on Pulmonary Image Analysis,
London United Kingdom,
pages 15-25,
2009.
@inproceedings{Gorbunova:WPIA:09,
address = {London United Kingdom},
author = {V. Gorbunova and Stanley Durrleman and P. Lo and Xavier Pennec and de Bruijne, M.},
booktitle = {Proc. of Second International Workshop on Pulmonary Image Analysis},
editor = {M. Brown and de Bruijne, M. and van Ginneken, B. and A. Kiraly and J.M. Kuhnigk and C. Lorenz and J.R. McClelland and K. Mori and A.P. Reeves and J. Reinhardt},
pages = {15--25},
title = {Curve- and surface-based registration of lung CT images via currents},
url = {http://www.lungworkshop.org/2009/proc2009/15.pdf},
url-hal = {https://hal.inria.fr/inria-00616136},
url-publisher = {http://www.lungworkshop.org/2009/proc2009/},
x-international-audience = {yes},
x-pays = {DK},
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year = {2009}
}
-
Tobias Heimann,
François Chung,
Hans Lamecker,
and Hervé Delingette.
Subject-Specific Ligament Models: Towards Real-Time Simulation of the Knee Joint.
In Computational Biomechanics for Medicine IV Workshop 2009,
September 2009.
@inproceedings{Heimann:CBMW:09,
author = {Tobias Heimann and Fran\c{c}ois Chung and Hans Lamecker and Herv\'e Delingette},
booktitle = {Computational Biomechanics for Medicine IV Workshop 2009},
month = {September},
title = {Subject-Specific Ligament Models: Towards Real-Time Simulation of the Knee Joint},
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-
Heike Hufnagel,
Jan Ehrhardt,
Xavier Pennec,
and Heinz Handels.
Application of a Probabilistic Statistical Shape Model to Automatic Segmentation.
In World Congress on Medical Physics and Biomedical Engineering, WC 2009, München,
volume 25/4 of IFMBE Proceedings,
pages 2181-2184,
2009.
Springer.
@inproceedings{Hufnagel:WC:09,
author = {Heike Hufnagel and Jan Ehrhardt and Xavier Pennec and Heinz Handels},
booktitle = {World Congress on Medical Physics and Biomedical Engineering, WC 2009, M\"unchen},
doi = {10.1007/978-3-642-03882-2_579},
pages = {2181--2184},
publisher = {Springer},
series = {IFMBE Proceedings},
title = {Application of a Probabilistic Statistical Shape Model to Automatic Segmentation},
url = {https://www-sop.inria.fr/asclepios/Publications/Heike.Hufnagel/Hufnagel_WC09.pdf},
url-hal = {https://hal.inria.fr/inria-00616144},
volume = {25/4},
x-international-audience = {yes},
x-pays = {DE},
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year = {2009}
}
-
Heike Hufnagel,
Jan Ehrhardt,
Xavier Pennec,
Alexander Schmidt-Richberg,
and Heinz Handels.
Level Set Segmentation Using a Point-Based Statistical Shape Model Relying on Correspondence Probabilities.
In Proc. of MICCAI Workshop Probabilistic Model for Medical Image Analysis (PMMIA'09),
2009.
@inproceedings{Hufnagel:PMMIA:09,
author = {Heike Hufnagel and Jan Ehrhardt and Xavier Pennec and Alexander Schmidt-Richberg and Heinz Handels},
booktitle = {Proc. of MICCAI Workshop Probabilistic Model for Medical Image Analysis (PMMIA'09)},
title = {Level Set Segmentation Using a Point-Based Statistical Shape Model Relying on Correspondence Probabilities},
url = {https://www-sop.inria.fr/asclepios/Publications/Heike.Hufnagel/Hufnagel_PMMIA09.pdf},
x-international-audience = {yes},
x-pays = {DE},
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year = {2009}
}
-
D. Kainmüller,
Hans Lamecker,
H. Seim,
M. Zinser,
and S. Zachow.
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data.
In Guang-Zhong Yang,
David Hawkes,
Daniel Rueckert,
Alison Noble,
and Chris Taylor, editors,
Proc. Medical Image Computing and Computer Assisted Intervention,
volume 5762 of Lecture Notes in Computer Science,
pages 76-83,
2009.
Springer.
@inproceedings{Kainmueller-2009a,
author = {D. Kainm\"uller and Hans Lamecker and H. Seim and M. Zinser and S. Zachow},
booktitle = {Proc. Medical Image Computing and Computer Assisted Intervention},
editor = {Guang-Zhong Yang and David Hawkes and Daniel Rueckert and Alison Noble and Chris Taylor},
pages = {76-83},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data},
url-hal = {https://hal.inria.fr/inria-00616134},
url-publisher = {http://www.springerlink.com/content/372l6n99476115h7/},
volume = {5762},
x-editorial-board = {yes},
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}
-
Hans Lamecker,
Tommaso Mansi,
Jatin Relan,
Florence Billet,
Maxime Sermesant,
Nicholas Ayache,
and Hervé Delingette.
Adaptive Tetrahedral Meshing for Personalized Cardiac Simulations.
In MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling (CI2BM09),
London United Kingdom,
pages 149-158,
2009.
Keyword(s): elements,
modeling,
mesh quality,
mesh size control.
Abstract: |
{P}ersonalized simulation for therapy planning in the clinical routine requires fast and accurate computations. {F}inite-element ({FE}) simulations belong to the most commonly used approaches. {B}ased on medical images the geometry of the patient's anatomy must be faithfully represented and discretized in a way to find a reasonable compromise between accuracy and speed. {T}his can be achieved by adapting the mesh resolution, and by providing well-shaped elements to improve the convergence of iterative solvers. {W}e present a pipeline for generating high-quality, adaptive meshes, and show how the framework can be applied to specific cardiac simulations. {O}ur aim is to analyze the meshing requirements for applications in electrophysiological modeling of ventricular tachycardia and electromechanical modeling of {T}etralogy of {F}allot. |
@inproceedings{LAMECKER:2009:INRIA-00417371:1,
abstract = {{P}ersonalized simulation for therapy planning in the clinical routine requires fast and accurate computations. {F}inite-element ({FE}) simulations belong to the most commonly used approaches. {B}ased on medical images the geometry of the patient's anatomy must be faithfully represented and discretized in a way to find a reasonable compromise between accuracy and speed. {T}his can be achieved by adapting the mesh resolution, and by providing well-shaped elements to improve the convergence of iterative solvers. {W}e present a pipeline for generating high-quality, adaptive meshes, and show how the framework can be applied to specific cardiac simulations. {O}ur aim is to analyze the meshing requirements for applications in electrophysiological modeling of ventricular tachycardia and electromechanical modeling of {T}etralogy of {F}allot.},
address = {London United Kingdom},
author = {Hans Lamecker and Tommaso Mansi and Jatin Relan and Florence Billet and Maxime Sermesant and Nicholas Ayache and Herv\'e Delingette},
booktitle = {MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling (CI2BM09)},
hal-identifiant = {inria-00417371},
keywords = {elements, modeling, mesh quality, mesh size control},
pages = {149-158},
title = {Adaptive Tetrahedral Meshing for Personalized Cardiac Simulations},
url = {http://hal.inria.fr/docs/00/41/73/71/PDF/4_7_paper108.pdf},
url-hal = {https://hal.inria.fr/inria-00417371},
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}
-
Tommaso Mansi,
Stanley Durrleman,
Boris Bernhardt,
Maxime Sermesant,
Hervé Delingette,
Ingmar Voigt,
Philipp Lurz,
Andrew M Taylor,
Julie Blanc,
Younes Boudjemline,
Xavier Pennec,
and Nicholas Ayache.
A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning.
In Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'09),
volume 5761 of Lecture Notes in Computer Science,
London, UK,
pages 214-221,
September 2009.
Springer.
@inproceedings{Mansi:MICCAI:09,
address = {London, UK},
author = {Tommaso Mansi and Stanley Durrleman and Boris Bernhardt and Maxime Sermesant and Herv\'e Delingette and Ingmar Voigt and Philipp Lurz and Andrew M Taylor and Julie Blanc and Younes Boudjemline and Xavier Pennec and Nicholas Ayache},
booktitle = {Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'09)},
doi = {10.1007/978-3-642-04268-3_27},
month = {September},
pages = {214-221},
pmid = {20425990},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning},
url = {https://www-sop.inria.fr/asclepios/Publications/Tommaso.Mansi/mansi09MICCAI.pdf},
url-hal = {https://hal.inria.fr/inria-00616175},
volume = {5761},
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-
Tommaso Mansi,
Jean-Marc Peyrat,
Maxime Sermesant,
Hervé Delingette,
Julie Blanc,
Younes Boudjemline,
and Nicholas Ayache.
Physically-Constrained Diffeomorphic Demons for the Estimation of 3D Myocardium Strain from Cine-MRI.
In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09),
volume 5528 of LNCS,
pages 201-210,
3-5 June 2009.
@inproceedings{Mansi:FIMH:09,
author = {Tommaso Mansi and Jean-Marc Peyrat and Maxime Sermesant and Herv\'e Delingette and Julie Blanc and Younes Boudjemline and Nicholas Ayache},
booktitle = {Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09)},
month = {3-5 June},
pages = {201-210},
series = {LNCS},
title = {Physically-Constrained Diffeomorphic Demons for the Estimation of 3D Myocardium Strain from Cine-MRI},
url = {https://www-sop.inria.fr/asclepios/Publications/Tommaso.Mansi/mansi09FIMH.pdf},
url-hal = {https://hal.inria.fr/inria-00616138},
volume = {5528},
x-editorial-board = {yes},
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x-proceedings = {yes},
year = {2009}
}
-
Mihaela Pop,
Maxime Sermesant,
Tommaso Mansi,
Eugene Crystal,
Jay Detsky,
_Yuesong Yang,
Paul Fefer,
Elliot McVeigh,
Alexander Dick,
Nicholas Ayache,
and Graham Wright.
Characterization of Post-infarct Scars in a Porcine Model - a Combined Experimental and Theoretical Study.
In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09),
volume 5528 of LNCS,
pages 1-10,
3-5 June 2009.
@inproceedings{Pop:FIMH:09,
author = {Mihaela Pop and Maxime Sermesant and Tommaso Mansi and Eugene Crystal and Jay Detsky and \_Yuesong Yang and Paul Fefer and Elliot McVeigh and Alexander Dick and Nicholas Ayache and Graham Wright},
booktitle = {Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09)},
month = {3-5 June},
pages = {1-10},
series = {LNCS},
title = {Characterization of Post-infarct Scars in a Porcine Model - a Combined Experimental and Theoretical Study},
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-
Liliane Ramus and Grégoire Malandain.
Using consensus measures for atlas construction.
In Proceedings of the Sixth IEEE International Symposium on Biomedical Imaging 2009 (ISBI'09),
Boston, MA,
July 2009.
@inproceedings{Ramus:ISBI:09,
address = {Boston, MA},
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Jatin Relan,
Maxime Sermesant,
Hervé Delingette,
Mihaela Pop,
Graham Wright,
and Nicholas Ayache.
Quantitative comparison of two cardiac electrophysiology models using personalisation to optical and MR data.
In IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'09),
Boston, MA,
pages 1027-1030,
July 2009.
Keyword(s): bioelectric phenomena,
biomedical MRI,
biomedical optical imaging,
cardiology,
image resolution,
medical image processing,
physiological modelsAliev-Panfilov model,
MRI,
cardiac models,
depolarisation,
electrophysiology,
optical imaging,
phenomenological model,
porcine healthy heart,
repolarisation,
spatial resolution,
temporal resolution.
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Jatin Relan,
Maxime Sermesant,
Mihaela Pop,
Hervé Delingette,
Michel Sorine,
Graham Wright,
and Nicholas Ayache.
Parameter Estimation of a 3D Cardiac Electrophysiology Model Including the Restitution Curve Using Optical and MR Data.
In Olaf Dössel and Wolfgang C. Schlegel, editors,
World Congress on Medical Physics and Biomedical Engineering,
volume 25/IV of IFMBE Proceedings,
Munich, Germany,
pages 1716-1719,
September 2009.
Springer.
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Jatin Relan,
Maxime Sermesant,
Mihaela Pop,
Hervé Delingette,
Michel Sorine,
Graham Wright,
and Nicholas Ayache.
Volumetric Prediction of Cardiac Electrophysiology using a Heart Model Personalised to Surface Data.
In MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling - CI2BM09,
London, UK,
pages 19-27,
2009.
@inproceedings{RELAN:2009:INRIA-00418471:1:MICCAI_CI2BM_Workshop,
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Tammy Riklin-Raviv,
Bjoern H. Menze,
Koen Van Leemput,
Bram Stieltjes,
Marc-André Weber,
Nicholas Ayache,
William M. Wells,
and Polina Golland.
Joint segmentation via patient-specific latent anatomy model.
In MICCAI Workshop on Probabilistic Methods in Medical Image Analysis (PMMIA'09)),
London, UK,
September 2009.
@inproceedings{Riklin-Raviv:MICCAI-PMMIA:2009,
address = {London, UK},
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Mert Sabuncu,
Boon Thye Thomas Yeo,
Tom Vercauteren,
Koen Van Leemput,
and Polina Golland.
Asymmetric Image-Template Registration.
In Guang-Zhong Yang,
David Hawkes,
Daniel Rueckert,
Alison Noble,
and Chris Taylor, editors,
Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), Part I,
volume 5761 of Lecture Notes in Computer Science,
London, UK,
pages 565-573,
September 2009.
Springer.
Note: PMID:20426033.
@inproceedings{Sabuncu:MICCAI:09,
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Maxime Sermesant,
Florence Billet,
Radomir Chabiniok,
Tommaso Mansi,
Phani Chinchapatnam,
Philippe Moireau,
Jean-Marc Peyrat,
Kawal Rhode,
Matt Ginks,
Pier Lambiase,
Simon Arridge,
Hervé Delingette,
Michel Sorine,
Aldo Rinaldi,
Dominique Chapelle,
Reza Razavi,
and Nicholas Ayache.
Personalised Electromechanical Model of the Heart for the Prediction of the Acute Effects of Cardiac Resynchronisation Therapy.
In Proceedings of Functional Imaging and Modeling of the Heart 2009 (FIMH'09),
volume 5528 of LNCS,
pages 239-248,
3-5 June 2009.
@inproceedings{Sermesant:FIMH:09,
author = {Maxime Sermesant and Florence Billet and Radomir Chabiniok and Tommaso Mansi and Phani Chinchapatnam and Philippe Moireau and Jean-Marc Peyrat and Kawal Rhode and Matt Ginks and Pier Lambiase and Simon Arridge and Herv\'e Delingette and Michel Sorine and Aldo Rinaldi and Dominique Chapelle and Reza Razavi and Nicholas Ayache},
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N. Toussaint,
S. Durrleman,
M. Sermesant,
S. Kozerke,
and P. Batchelor.
Error Assessment on myocardial fiber orientations from DTI measurements.
In Book of Abstracts, European Society of Magnetic Resonance in Medicine (ESMRMB) 26th Annual Scientific Meeting,
volume 22,
Antalya, Turkey,
pages 59,
2009.
@inproceedings{Toussaint:ESMRMB:09,
address = {Antalya, Turkey},
author = {N. Toussaint and S. Durrleman and M. Sermesant and S. Kozerke and P. Batchelor},
booktitle = {Book of Abstracts, European Society of Magnetic Resonance in Medicine (ESMRMB) 26th Annual Scientific Meeting},
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title = {Error Assessment on myocardial fiber orientations from DTI measurements},
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