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 Setsompop^5,6, 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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