Meeting Banner
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


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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here