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Abstract #0661

Clinical evaluation of an AI-accelerated two-minute multi-shot EPI protocol for comprehensive high-quality brain imaging

Bryan Clifford1, John Conklin2, Susie Huang2, Thorsten Feiweier3, Zahra Hosseini4, Augusto Lio M. Goncalves Filho2, Azadeh Tabari2, Serdest Demir2, Wei-Ching Lo1, Maria Gabriela Figueiro Longo2, Michael Lev2, Pam Schaefer2, Otto Rapalino2, Kawin Setsompop5,6, Berkin Bilgic7, and Stephen Cauley7
1Siemens Medical Solutions USA, Inc., Boston, MA, United States, 2Department Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Siemens Medical Solutions USA, Inc., Atlanta, GA, United States, 5Department Radiology, Stanford University, Stanford, CA, United States, 6Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 7Department Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States

This work integrates a novel machine learning-based reconstruction and optimized magnetization transfer preparation modules with a multi-shot echo-planar imaging acquisition to provide comprehensive whole-brain imaging in two minutes. Neuroradiologist evaluation indicated that the proposed method can produce T2, T2*, T1, FLAIR, and DWI images with SNR, tissue contrast, and lesion conspicuity similar to that of a 10-minute turbo spin echo-based exam. To accommodate a wide range of radiologist preferences and/or hardware configurations without the need for additional training, the proposed method provides a tunable parameter for controlling the level of denoising.

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