Michal Sdika1, Virginie Callot1, Mathias Hebert1, Guillaume Duhamel1, Patrick J. Cozzone1
1CRMBM/CNRS UMR6612, Facult de mdecine, Universit de la Mditrrane, Marseille, France, France
In this work, a fully automated method is proposed to segment mice SC white matter (WM) and gray matter (GM) tissues on Diffusion Tensor Imaging (DTI) images. The proposed method is based on three main step: first a small patch containing the SC is detected using a machine learning procedure, then a mask of the SC is computed within this patch and finally WM/GM segmentation is performed. Specific attention has been paid to choose an appropriate modality for each steps. The segmentation results has been evaluated by visual assessment by two experts on the images of 13 mice.