[Early Assessment of Myocardial Fibrosis of Hypertrophic Cardiomyopathy with Native-T1-Mapping-Based Deep Learning: A Preliminary Study].

Journal: Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
PMID: 34622599

Abstract

OBJECTIVE: To explore the diagnostic performance of deep learning (DL) model in early detection of the interstitial myocardial fibrosis using native T1 maps of hypertrophic cardiomyopathy (HCM) without late gadolinium enhancement (LGE).

Authors

  • Ke Shi
    School of Computer Science and Technology, Huazhong University of Science and Technology, China. Electronic address: keshi@mail.hust.edu.cn.
  • Ying Li
    School of Information Engineering, Chang'an University, Xi'an 710010, China.
  • Tian-Jing Zhang
    Philips Healthcare, Guangzhou 510180, China.
  • Zhen-Lin Li
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Hai-Xia Li
    Philips Healthcare, Guangzhou 510180, China.
  • Wan-Lin Peng
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Chun-Chao Xia
    Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.

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