Abstract #4183

Liver DWI using deep learning constrained compressed sensing: A primary study compared to conventional DWI and compressed sensing-based DWI

Ting Duan¹, Zhen Zhang², Hanyu Jiang², Yidi Chen², Xiaoyong Zhang³, and Bin Song²

¹Radiology, West China Hospital, Sichuan University, Chengdu, China, ²West China Hospital, Sichuan University, Chengdu, China, ³Clinical Science, Philips Healthcare, Chengdu, China, Chengdu, China

Synopsis

Compressed sensing AI-based DWI substantially reduced noise artifacts and improved the signal-to-noise ratio and lesion contrast-to-noise ratio compared with conventional DWI and Compressed sensing based DWI, without any penalty for scan parameters. This technique may prove of value in better diagnostic liver imaging.

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