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Abstract #3713

Accelerated high-resolution T2-weighted imaging for prostate with a deep learning constrained Compressed SENSE reconstruction

Jihun Kwon1, Takashige Yoshida2, Masami Yoneyama1, and Marc Van Cauteren3
1Philips Japan, Tokyo, Japan, 2Tokyo Metropolitan Police Hospital, Nakano, Japan, 3Philips Healthcare, Best, Netherlands


T2-weighted (T2W) imaging is used to depict prostate anatomy. However, T2W imaging with high spatial resolution, which is required by PI-RADSv2, is not always performed because of the long scan time. In this study, we investigated the use of Compressed SENSE AI (CS-AI) reconstruction to accelerate high-resolution T2W imaging of the prostate. The image quality of CS-AI reconstruction, conventional Compressed-SENSE (C-SENSE), and SENSE were compared qualitatively and quantitatively. Clinical cases demonstrated a significant noise reduction in accelerated CS-AI. CS-AI also showed a significantly higher contrast-to-noise ratio in CS-AI compared to SENSE and C-SENSE.

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