MFCA is a satellite workshop of MICCAI 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.
ProceedingsA special issue of the Int. Journal of Computer Vision with some of the workshop papers is currently under preparation.
The proceedings of the previous MFCA workshops are also available as a collection of open archive papers.
RationaleThe 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 topicsThe program will be composed of 8-10 oral presentations selected by the peer-reviewed contributions of the participants, and a poster session of about 10 to 20 papers. 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:
8:30 - 10:15 - Oral Session 1: LDDMM and longitudinal deformations
10:15 - 10:45 - Coffe break
10:45 - 12:15 - Oral Session 2: Beyond Riemannian geometry
12:15 - 13:15: Lunch (on our own, not provided by conference/workshop)
13:15 - 14:15: Poster session
14:15 - 15:15 - Oral Session 3: Statistical analysis on Riemannian Manifolds
15:15 - 15:45: Coffe break
15:45 - 17:30 - Oral Session 4: Statistical Graphs and Trees
RegistrationFollow the instructions at the official Miccai 2011 web site to register for this workshop.