MFCA 2017
6th MICCAI workshop on
Mathematical Foundations
of Computational Anatomy


MFCA is a MICCAI workshop devoted to statistical and geometrical methods for modeling the variability of biological shapes. The goal is to foster the interactions between the mathematical community around shapes and the MICCAI community around computational anatomy applications. The workshop aims at being a forum for the exchange of the theoretical ideas and a source of inspiration for new methodological developments in computational anatomy.

Following the

the sixth MFCA workshop will be held in Quebec city (CA) on September 14, 2017, in conjunction with MICCAI 2017.


The goal of computational anatomy is to analyze and to statistically model the anatomy of organs in different subjects. Computational anatomic methods are generally based on the extraction of anatomical features or manifolds which are then statistically analyzed, often through a non-linear registration. There are nowadays a growing number of methods that can faithfully deal with the underlying biomechanical behavior of intra-subject deformations. However, it is more difficult to relate the anatomies of different subjects. In the absence of any justified physical model, diffeomorphisms provide the most general mathematical framework that enforce topological consistency. However, working with this infinite dimensional space raises some deep computational and mathematical problems, in particular for doing statistics. Likewise, modeling the variability of surfaces leads to rely on shape spaces that are much more complex than for curves. To cope with these, different methodological and computational frameworks have been proposed (e.g. smooth left-invariant metrics, focus on well-behaved subspaces of diffeomorphisms, modeling surfaces using currents, etc.) The goal of the workshop is to foster interactions between researchers investigating the combination of geometry and statistics in non-linear image and surface registration in the context of computational anatomy from different points of view. A special emphasis will be put on theoretical developments, applications and results being welcomed as illustrations.

Workshop format and topics

The program will be composed of oral presentations selected by the peer-reviewed contributions of the participants. To foster interactions, a large amount of time will be reserved for discussions after each presentation. Contributions are solicited in (but not limited to) the areas of:
  • Riemannian sub-Riemannian and group theoretical methods
  • Statistical models for manifold-valued data, including surfaces, deformations and shapes
  • Metrics for computational anatomy
  • Statistics of surfaces
  • Time-evolving geometric processes
  • Stratified spaces
  • Optimal transport in registration problems
  • Approximation methods in statistical learning (e.g. variational Bayes, importance sampling, Monte Carlo methods)
Download the call for paper and don't hesitate to send it to interested people.

Key Dates

  • Paper Submission: June 1, 2017 (11:59 PM Pacific time)
  • Notification of Acceptance: July 7, 2017
  • Camera Ready Paper Submission: July 14, 2015
  • Workshop: September 14, 2015.

Paper submission

Authors are invited to submit papers of about 10 to 12 pages in the LNCS format on the MFCA'15 CMT submission portal before the submission deadline. The file format for submissions is Adobe Portable Document Format (PDF). Other formats will not be accepted. Please create an account on your first login on the CMT system. Papers accepted at the MICCAI conference cannot be submitted. Notice that the workshop submission deadline will be after the MICCAI decision. Double submissions are NOT allowed with any other MICCAI workshop. If you hesitate between several workshops, please contact the workshop chairs beforehand.


08:00 - 10:00: Session 1: Diffeomorphisms and algorithms for Computational Anatomy

  • 08:00 - 08:15: Introduction (Organizers)
  • 08:15 - 08:50: Rank Constrained Diffeomorphic Density Motion Estimation for Respiratory Correlated Computed Tomography. Markus D Foote*; Pouya Sabouri; Amit Sawant; Sarang Joshi
  • 08:50 - 09:25: Efficient Parallel Transport in the Group of Diffeomorphisms via Reduction to the Lie Algebra. Kris Campbell*; Tom Fletcher
  • 09:25 - 10:00: Computational Anatomy in Theano. Line Kühnel*; Stefan Sommer

10:00 - 10:30: Coffee break.

10:30 - 12:30: Session 2: Keynote and longitudinal computational anatomy

  • 10:30 - 11:20: Keynote: Predictive models for deformable image registration. Marc Niethammer
  • 11:20 - 11:55: Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline. Alexandre Bône*; Maxime Louis; Alexandre Routier; Jorge A Samper Gonzalez; Michael Bacci; Benjamin Charlier; Olivier Colliot; Stanley Durlemann
  • 11:55 - 12:30: Unbiased Diffeomorphic Mapping of Longitudinal Data with Simultaneous Subject Specific Template Estimation. Daniel Tward*; Michael Miller

12:30 - 13:45: Lunch.

13:45 - 15:30: Session 3: landmark and curves

  • 13:45 - 14:20: Exact Function Alignment Under Elastic Riemannian Metric. Daniel Robinson; Adam G Duncan*; Anuj Srivastava; Eric Klassen
  • 14:20 - 14:55: Bridge Simulation and Metric Estimation on Landmark Manifolds. Stefan Sommer*; Alexis Arnaudon; Line Kühnel; Sarang Joshi
  • 14:55 - 15:30: A new metric for statistical analysis of rigid transformations: application to the rib cage. Baptiste Moreau

15:30 - 16:00: Coffee break.

16:00 - 17:30: Session 4: Shape analysis using Varifolds

  • 16:00 - 16:35: Varifold-based matching of curves via Sobolev-type Riemannian metrics. Martin Bauer; Martins Bruveris; Nicolas Charon; Jakob Moeller-Andersen*
  • 16:35 - 17:10: White matter fiber segmentation using functional varifolds. Kuldeep Kumar*; Pietro Gori; Benjamin Charlier; Stanley Durlemann; Olivier Colliot; Christian Desrosiers
  • 17:10 - 17:30: Final words (Organisers)


Proceedings are now published and onlin at Proceedings from previous MFCA workshops are available at


Follow the instructions at the official Miccai 2017 website to register for this workshop.


Program Committee (confirmed participation only)

  • Stéphanie Allassonière (Ecole Polytechnique, FR)
  • Rachid Deriche (INRIA, FR)
  • Ian Dryden(U. of Nottingham, UK)
  • Luc Florac(Eindhoven U. of Technology, NL)
  • James Gee (University of Pennsylvania, USA)
  • Guido Gerig (SCI, U. of Utah, USA)
  • Polina Golland (MIT, USA)
  • Darryl Holm (Imperial College London, UK)
  • Susan Holmes (Stanford U., USA)
  • Steve Marron (UNC Chapel Hill, USA)
  • Stephen Marsland (Massey U., NZ)
  • Michael Miller (Johns Hopkins U., USA)
  • Marc Niethammer (UNC Chapel Hill, USA)
  • Salvador Olmos (U. of Saragossa, SP)
  • Kaleem Siddiqi (McGill U., CA)
  • Martin Styner (UNC Chapel Hill, USA)
  • Alain Trouvé (ENS Cachan, FR)
  • Carole Twining (U. of Manchester, UK)
  • Francois Xavier Vialard (Dauphine U., FR)
  • William M. Wells III (MIT & Harvard, USA)