Enhancing gadoxetic acid-enhanced liver MRI: a synergistic approach with deep learning CAIPIRINHA-VIBE and optimized fat suppression techniques.

Journal: European radiology
PMID: 38492004

Abstract

OBJECTIVE: To investigate whether a deep learning (DL) controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA)-volumetric interpolated breath-hold examination (VIBE) technique can improve image quality, lesion conspicuity, and lesion detection compared to a standard CAIPIRINHA-VIBE technique in gadoxetic acid-enhanced liver MRI.

Authors

  • Hong Wei
    Department of Materials Science and Engineering, University of California, Irvine, California 92697, United States.
  • Jeong Hee Yoon
  • Sun Kyung Jeon
    Department of Radiology, Seoul National University Hospital, Seoul, Korea.
  • Jae Won Choi
  • Jihyuk Lee
  • Jae Hyun Kim
    Department of Pharmaceutical Chemistry, University of Kansas, Lawrence, Kansas 66047; Macromolecule and Vaccine Stabilization Center, University of Kansas, Lawrence, Kansas 66047.
  • Marcel Dominik Nickel
    MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany.
  • Bin Song
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Ting Duan
    Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Jeong Min Lee

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