[Comp-neuro] Post Doc, LSIIT-CNRS : Temporal Analysis of MR Brain Images

Francois Rousseau rousseau at lsiit.u-strasbg.fr
Sun Jul 5 15:00:35 CEST 2009

Post Doc, LSIIT-CNRS : Temporal Analysis of MR Brain Images

DeadLine: 01/11/2009
rousseau at lsiit.u-strasbg.fr

In this project, we focus on exploring fetal brain maturation and more particularly brain morphology evolution and degree of myelination changes using anatomical MRI (T2-weighted images) and Diffusion Tensor Imaging (DTI).

The goal is to develop realistic models of fetal brain maturation from MRI in utero data. An elegant solution to build these models is to rely on statistical atlases generated from relevant features extracted from multimodal MR data. Statistical brain atlases provide a representation of average anatomy and a range of anatomical variation within a particular population. Such atlases are of great interest for the medical community since it describes normal anatomy in a compact form and it can be easily usable for medical studies. To achieve this goal, the atlas building has to capture mean shapes and normal variability of fetal anatomy.


The candidate should be familiar with image processing and applied math.
The candidate must also have excellent knowledge of C++ and should be fluent in English. 


Please send a CV, a brief research statement to rousseau at lsiit.u-strasbg.fr

Francois Rousseau
Pôle API 
Boulevard Sébastien Brant  
tel : +33 3 90 24 44 89 (LSIIT)
tel : +33 3 90 24 40 45 (LINC)

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