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Jean-François Mangin's home page
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Work address:
Service Hospitalier Frédéric Joliot
Commissariat à l'Energie Atomique
4 place du général Leclerc
91401 Orsay Cedex
tel : 33-1-69-86-77-70
fax : 33-1-69-86-77-86
Publications
Jean-François Mangin received the engineer degree
from École Centrale Paris in 1989, the M.Sc. degree in numerical analysis from Pierre et Marie Curie University (Paris VI) in 1989, and the PhD degree in
signal and image processing from École Nationale Supérieure
des Télécommunications of Paris in 1995.
Since october 1991, he has been
working with Service Hospitalier Frédéric Joliot, Commissariat
à l'Énergie Atomique, Orsay, France, on image analysis problems related to brain mapping. Since 1999, he has been leading a group, which project consists of the development of a new bunch of brain mapping methods designed from a structural point of view. This research is threefold:
- Structural group analysis through the pairing of individual activated clusters according to anatomical localization. This work aims at overcoming the increasing dissatisfaction observed in the brain mapping community with regard to the standard voxel based approach relying on the proportional system. This line of research is developed in collaboration with Olivier Coulon, ESIL, Marseille.
- Inference of a generic model of cortical folding stemming from an original hypothesis on invariance of the first folds appearing during brain growth. This work aims at finding a consistent way of pairing sulco-gyral patterns across individuals. This would allow the definition of a systematic parcellation of the cortical surface to be compared with architectony oriented parcellations. This line of research is based on a long lasting collaboration with Jean Régis, neurosurgeon in CHU La Timone, Marseille.
- Inference of the cortex connectivity from the living human brain using MR diffusion imaging.
Past achievements have already fathered original tools that have been recently packaged together in a user-friendly software environment (Anatomist/BrainVISA). Current efforts should lead the group to merge the three lines of algorithmic work into a common structural framework embodied in a new software called Cartograph. This software will be endowed with higher level functionalities allowing easy manipulation of large databases of structural data.
Cartograph will assist neuroscientists during structural group analysis procedures dedicated to the incremental inference of structural cognitive models.