Deep Learning for Discrimination of Hypertrophic Cardiomyopathy and Hypertensive Heart Disease on MRI Native T1 Maps.

Journal: Journal of magnetic resonance imaging : JMRI
PMID: 37431848

Abstract

BACKGROUND: Native T1 and radiomics were used for hypertrophic cardiomyopathy (HCM) and hypertensive heart disease (HHD) differentiation previously. The current problem is that global native T1 remains modest discrimination performance and radiomics requires feature extraction beforehand. Deep learning (DL) is a promising technique in differential diagnosis. However, its feasibility for discriminating HCM and HHD has not been investigated.

Authors

  • Zi-Chen Wang
    Ottawa-Shanghai Joint School of Medicine, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Zhang-Zhengyi Fan
    Ottawa-Shanghai Joint School of Medicine, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Xi-Yuan Liu
    Ottawa-Shanghai Joint School of Medicine, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Ming-Jie Zhu
    Ottawa-Shanghai Joint School of Medicine, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Shan-Shan Jiang
    Philips Healthcare, Xi'an, Shaanxi, China.
  • Song Tian
    Infervision, Beijing, China.
  • Bing-Hua Chen
    Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No.160 PuJian Road, Shanghai, 200127, China.
  • Lian-Ming Wu
    Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, No.160 PuJian Road, Shanghai, 200127, China. wlmssmu@126.com.

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