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Abstract #1874

Predicting T1 Information from Diffusion Image Data

Yogesh Rathi1, Oleg Michailovich2, Sylvain Bouix, Martha Shenton, Carl-Fredrik Westin

1Harvard Medical School, Boston, MA, United States; 2ECE, University of Waterloo, Waterloo, Canada

In this work, we propose a novel method for obtaining a T1-weighted MR image from a diffusion MRI scan. Existing measures of diffusion, such as, FA, entropy, etc. do not provide enough contrast between gray matter and CSF regions. The proposed algorithm produces images that can better delineate the different tissue types just like a T1 image. The predicted T1 images can be used in registration, segmentation and visualization of fiber tracts.