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.