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Abstract #4539

Accelerated T2 mapping based on Bloch signal-model with fixed rank and sparsity constraints

Daniel Grzeda1, Meirav Galun2, Noam Omer1, Tamar Blumenfeld-Katzir1, Dvir Radunsky1, Ricardo Otazo3, and Noam Ben-Eliezer1,4,5

1Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 2Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel, 3Departments of Medical Physics and Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 4Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 5Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, NY, United States

Quantification of T2 values is valuable for a wide range of research applications and clinical pathologies. Multi-echo spin echo (MESE) protocols offer significantly shorter scan-times, at the cost of strong contamination from stimulated and indirect echoes. The echo-modulation-curve (EMC) algorithm, can efficiently overcome these limitations to produce accurate T2 values. In this work we propose a new reconstruction algorithm based on Sparsity and Fixed Rank constraints, denoted as SPARK. We compare our method against GRAPPA and show its superiority in the quantitative evaluation of T2 values from highly undersampled data.

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