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Abstract #4122

Deep learning reconstruction enables highly accelerated T2 weighted prostate MRI

Patricia M Johnson1, Angela Tong1, Paul Smereka1, Awani Donthireddy1, Robert Petrocelli1, Hersh Chandarana1, and Florian Knoll1
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New york, NY, United States

Early diagnosis and treatment of prostate cancer (PCa) can be curative, but the blood test for PSA is limited in detecting clinically significant PCa. Current abbreviated MR imaging protocols do not sufficiently reduce scan time for practical routine screening. In this work we extend a variational network (VN) deep learning image reconstruction method for accelerated clinical prostate images. Our results show that VN reconstructions of accelerated T2W images have comparable image quality to the current clinical protocol and require ≤1 minute of acquisition time, which can enable rapid screening prostate MRI.

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