Meeting Banner
Abstract #1688

Fitting MAP-MRI in 2 shell DWI Datasets using Model-based Extrapolation

maryam afzali1, Sharlene Newman1, Eleftherios Garyfallidis2, and Hu Cheng1

1Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States, 2Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, United States

We showed that three shells are sufficient to result in good approximations of MAP-MRI indices from numerical simulation. We used multiple compartment microstructure models to fit the two shell data and extrapolate the third shell with a higher b-value. We compared the performance of two models, NODDI and NODDI with fiber crossing (NODDIx), on the Human Connectome Project (HCP) DWI data. NODDIx showed improvement in the white matter with extrapolation but NODDI did not. Both NODDI and NODDIx failed to improve the results in the gray matter. Our approach also provides a new mechanism in validating or comparing microstructure models.

This abstract and the presentation materials are available to members only; a login is required.

Join Here