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Abstract #0246

A Variable Bandwidth Radial Gradient and Spin-Echo (VB-RadGRASE) Method for Improved T2 and Fat-Water Parameter Estimation

Mahesh Bharath Keerthivasan1, Jean-Philippe Galons2, Puneet Sharma2, Diego R. Martin2, Ali Bilgin, 13, Maria I. Altbach2

1Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States; 2Medical Imaging, University of Arizona, Tucson, AZ, United States; 3Biomedical Engineering, University of Arizona, Tucson, AZ, United States


Acquisition schemes based on gradient and spin-echo (GRASE) methods have been developed for the fast fat-water and T2 estimation. In this work we present a variable bandwidth radial GRASE (VB-radGRASE) sequence with the goal of optimizing the SNR of T2 and fat-water parameter estimation. The new method is evaluated in phantoms and in vivo data.