Abstract #5192

SyntheticTSE: Accelerated multicontrast spin-echo knee MRI using a combination of Bloch-simulation models, compressed sensing and simultaneous multislice acquisition

Akio Yoshimoto^1,2, Noam Ben-Eliezer^1,3,4, Mary Bruno⁵, Steven H Baete^1,6, Michael Recht⁵, and Ricardo Otazo^1,5

¹Center for Advanced Imaging Innovation and Research (CAI2R), NYU School Of Medicine, New York, NY, United States, ²Biomedical Engineering, School of Engineering, New York University, Brooklyn, NY, United States, ³Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, ⁴Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, ⁵Department of Radiology, NYU School Of Medicine, New York, NY, United States, ⁶Center for Biomedical Imaging, Department of Radiology, NYU School Of Medicine, New York, NY, United States

Clinical knee MRI examinations usually consist of a series of 2D acquisitions with different contrasts and orientations. In this work, we propose to simplify and shorten the examination by performing multi-contrast imaging using a single acquisition by directly reconstructing parametric maps (PD and T₂) and then synthesizing the contrasts of clinical interest (PD-weighted and T₂-weighted with and without fat suppression). The proposed SyntheticTSE method uses a Bloch-simulation signal model for parametric mapping and a combination of compressed sensing and simultaneous multislice acceleration. Initial feasibility is demonstrated using retrospective undersampling of multi-spin-echo knee dataset

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