Abstract #4242

T2-weighted imaging with deep learning reconstruction as an alternative method for prostate imaging: a preliminary study

Hao Cheng¹, Jinxia Zhu², Marcel Dominik Nickel³, Ming Liu⁴, Chunmei Li¹, and Min Chen¹

¹Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China, ²MR Collaboration, Siemens Healthineers Ltd, Beijing, China, ³MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, ⁴Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China

Synopsis

The purpose of this research is to explore the clinical performance of T2-weighted imaging with deep learning reconstruction (DL-T2WI) for prostate imaging. We compared DL-T2WI and conventional T2WI using TSE (C-T2WI) in terms of image quality, ghosting and tumor conspicuity. The results showed that compared with C-T2WI, DL-T2WI has comparable image quality, ghosting, and tumor conspicuity. The acquisition time of the complete examination using DL-T2WI is 9 minutes shorter than C-T2WI per patient, which suggests that DL-T2WI could replace C-T2WI in clinical settings, with a significantly shorter examination time.

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