Daniel Barazany1, Yaniv Assaf1
1Neurobiology, Tel Aviv University, Tel Aviv, Israel
Inversion recovery diffusion tensor imaging (IR-DTI) framework presented in this work shows that integrating different tissue characteristics allow more accurate definition of tissue compartments. IR-DTI framework is applicable, and requires only two DTI scans with different TIs which will provide means to differentiate between different sub-voxel diffusion components. The analysis of multiple IR-DTI dataset is done by a bi-tensor model, where each component has its own T1 and diffusion characteristics. In this work we were able to differentiate between the optic and sciatic nerves, where each attribute distinct T1 and diffusivity characteristics.