Segmentation of the Frontal Lobe Using Inversion Recovery Cortical Layers Imaging

Daniel Barazany¹, Ory Levy¹, Yaniv Assaf¹

Inversion recovery (IR) MRI provides a unique contrast that enables segmentation of the cortex in a laminar way. In this work we used multi IR images to cluster the frontal lobe into 5 distinct laminar sub-cortical structures. We found that each cluster has its own relaxation curve. Statistical analysis on the composition of 6 Brodmann's areas (BA) along the frontal lobe has shown that there is an interaction between different BAs and the MRI clusters. To validate our methodology, we were capable to identify the stripe of Gennari at BA17 in the visual cortex using this framework.