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.
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