Grant : ERC Starting Grant                    http://erc.europa.eu 

Lab : LSIIT, Strasbourg, FRANCE        http://lsiit-miv.u-strasbg.fr/miv 

Temporal Analysis of  in Utero Fetal Brain Images

 
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.

Profiles

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.

Application

Please send a CV, a brief research statement to rousseau@unistra.fr 

  François Rousseau

CNRS Research Scientist

LSIIT, MIV group