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Abstract #4389

Estimating multicomponent 2D relaxation spectra with a ViSTa-MR fingerprinting acquisition

Yunsong Liu1, Congyu Liao2, Daeun Kim3, Kawin Setsompop2, and Justin P. Haldar3
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Stanford University, Stanford, CA, United States, 3University of Southern California, Los Angeles, CA, United States


Multidimensional relaxation correlation spectroscopic imaging methods have demonstrated powerful capabilities to resolve subvoxel microstructure. In this work, we perform T1-T2 relaxation correlation spectroscopic imaging using a sequence that combines MR fingerprinting with a ViSTa preparation module to enhance sensitivity to short-T1 components. We demonstrate theoretically and empirically that this approach has advantages over MR fingerprinting without ViSTa. Empirical results demonstrate the ability to identify at least 6 anatomically plausible tissue components, including a short-T1 component that was not previously resolved when using MR fingerprinting without ViSTa. A novel generalized ADMM algorithm is also proposed that substantially improves computational efficiency.

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