Clinical feasibility of deep learning reconstruction in liver diffusion-weighted imaging: Improvement of image quality and impact on apparent diffusion coefficient value.

Journal: European journal of radiology
Published Date: Oct 13, 2023

Abstract

PURPOSE: Diffusion-weighted imaging (DWI) of the liver suffers from low resolution, noise, and artifacts. This study aimed to investigate the effect of deep learning reconstruction (DLR) on image quality and apparent diffusion coefficient (ADC) quantification of liver DWI at 3 Tesla.

Authors

  • Qian Chen
    Department of Pain Medicine Guizhou Provincial Orthopedics Hospital Guiyang Guizhou China.
  • Shu Fang
    Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, NO. 197 Ruijin Er Road, Shanghai 200025, China.
  • Yang Yuchen
    Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School Of Medicine, NO. 197 Ruijin Er Road, Shanghai 200025, China.
  • Ruokun Li
    Department of Radiology, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, People's Republic of China.
  • Rong Deng
    Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, NO. 197 Ruijin Er Road, Shanghai 200025, China.
  • Yongjun Chen
    Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Di Ma
    Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
  • Huimin Lin
    Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, NO. 197 Ruijin Er Road, Shanghai 200025, China. Electronic address: lhm12362@rjh.com.cn.
  • Fuhua Yan
    Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai 200025, China. Electronic address: yfh11655@rjh.com.cn.

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