Meeting Banner
Abstract #1534

Fast reconstruction of T2 maps with indirect echo compensation using highly undersampled radial Fast Spin Echo data

Mahesh Bharath Keerthivasan1, Lindsie Jeffries2, Diego Blew3, Jean-Philippe Galons3, Puneet Sharma3, Ali Bilgin1,2,3, Diego R Martin3, and Maria I Altbach3

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

There has been increased interest in the quantitative characterization of tissue based on T2. Techniques based on spin-echo (SE) or fast spin-echo (FSE) sequences are time consuming because they require multiple acquisitions for obtaining an adequate number of TE images for accurate T2 mapping. Radial FSE based methods have been introduced for efficient T2 mapping by using TE data from a single k-space data set. In this work, we explore combining the Echo Sharing algorithm for the fast reconstruction of the TE images with SEPG model fitting to compensate for indirect echoes.

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

Join Here