Meeting Banner
Abstract #3917

Predicting Selective Inversion Recovery Myelin Images from Routine Clinical Images and a Simple Linear Model

Nicholas John Sisco1, Francesca Bagnato2, Ashley M Stokes1, and Richard D Dortch1
1Division of Neuroimaging Researc, Barrow Neurological Institute, Phoenix, AZ, United States, 2Neurology Department, Vanderbilt University Medical Center, Nashville, TN, United States


Using a simple linear model, we predicted myelin-specific PSR maps from clinically available images. We trained this linear model on various combinations of routine images, including gray-matter standardized T1- and T2-weighted images and diffusion maps. The model reasonably predicted PSR values from structural images alone, although model performance was improved by the addition of diffusion parameters. In the future, this model may enable researchers and clinicians to assess myelin status without the need for specialized myelin imaging sequences. In addition, myelin maps could be obtained retrospectively in large imaging databases without myelin specific methods.

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

Join Here