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Abstract #0195

Accelerated CEST Imaging with Parallel Blind Compressed Sensing

Huajun She1, Bian Li1, Joshua S. Greer1,2, Jochen Keupp3, Ananth Madhuranthakam1,4, Ivan E. Dimitrov1,5, Robert Lenkinski1,4, and Elena Vinogradov1,4

1Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Bioengineering, UT Dallas, Dallas, TX, United States, 3Philips Research, Hamburg, Germany, 4Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 5Philips Healthcare, Gainesville, FL, United States

This work investigates accelerating CEST imaging using parallel blind compressed sensing (BCS). BCS method assumes a few functions are enough to represent the dynamic behavior. In CEST imaging, the Z-spectrum performs similar in the same compartment, which is suitable for BCS reconstruction. The traditional BCS method does not consider the coil sensitivity, which is complementary sparse information with spatial-temporal dictionary. The proposed method addresses the coil sensitivity information and the sparsity prior information in CEST and further improves the BCS method, demonstrating a better estimation of the CEST effect for both phantom and in vivo brain data.

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