Deep learning-based compressed SENSE improved diffusion-weighted image quality and liver cancer detection: A prospective study.

Journal: Magnetic resonance imaging
PMID: 38604347

Abstract

PURPOSE: To assess whether diffusion-weighted imaging (DWI) with Compressed SENSE (CS) and deep learning (DL-CS-DWI) can improve image quality and lesion detection in patients at risk for hepatocellular carcinoma (HCC).

Authors

  • Ting Duan
    Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Zhen Zhang
    School of Pharmacy, Jining Medical University, Rizhao, Shandong, China.
  • Yidi Chen
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Mustafa R Bashir
    Department of Radiology, Duke University, Durham, North Carolina, USA.
  • Emily Lerner
    Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA. Electronic address: Emily.sherber@duke.edu.
  • YaLi Qu
    Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
  • Jie Chen
    School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, China.
  • Xiaoyong Zhang
    Clinical Science, Philips Healthcare, Chengdu, China.
  • Bin Song
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Hanyu Jiang
    Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.

Keywords

External Resources

Popular Topics
Recent Journals