Accelerated MRI in temporomandibular joints using AI-assisted compressed sensing technique: a feasibility study.

Journal: European radiology
Published Date: Jun 12, 2025

Abstract

OBJECTIVE: To investigate the feasibility of accelerated MRI with artificial intelligence-assisted compressed sensing (ACS) technique in the temporomandibular joint (TMJ) and compare its performance with parallel imaging (PI) protocol and standard (STD) protocol.

Authors

  • Zheng Ye
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China.
  • Xinyang Lyu
    Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
  • Ruopeng Zhao
    Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Peidi Fan
    Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, PR China.
  • Shimin Yang
    Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University.
  • Chunchao Xia
    Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
  • Zhenlin Li
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.
  • Xin Xiong
    Department of Neurology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400011, China.

Keywords

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