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Abstract #0222

Highly Accelerated T2 and Diffusion Weighted Imaging of the Prostate by Combining Compressed SENSE, Sparse Sampling and Deep Learning

Felix N. Harder1, Kilian Weiss2, Thomas Amiel3, Johannes M. Peeters4, Robert Tauber3, Marcus R. Makowski1, Andreas P. Sauter1, Jürgen E. Gschwend3, Dimitrios C. Karampinos1, and Rickmer F. Braren1
1Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany, 2Philips GmbH Market DACH, Hamburg, Germany, 3Department of Urology, Technical University of Munich, School of Medicine, Munich, Germany, 4Philips Healthcare, Best, Netherlands


Since prostate MRI is increasingly applied and yet limited by long acquisition times, we prospectively investigated the performance of a novel reconstruction algorithm, combining compressed sensing, parallel imaging and deep learning (C-SENSE AI) in patients with histologically proven prostate cancer. Highly accelerated T2w and DWI sequences were compared to clinical standard of reference T2w and DWI. C-SENSE AI enabled 58% acceleration in T2w imaging and 47% acceleration in DWI of the prostate while obtaining significantly better image quality and tumor detection. C-SENSE AI seems particularly interesting in view of the need for accelerated prostate MRI with preserved high image quality.

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