Magnetic Resonance Texture Analysis in Myocardial Infarction

Fei Peng; Tian Zheng; Xiaoping Tang; Qiao Liu; Zijing Sun; Zhaofeng Feng; Heng Zhao; Lianggeng Gong

doi:10.3389/fcvm.2021.724271

Magnetic Resonance Texture Analysis in Myocardial Infarction

Front Cardiovasc Med. 2021 Oct 28:8:724271. doi: 10.3389/fcvm.2021.724271. eCollection 2021.

Authors

Fei Peng¹, Tian Zheng¹, Xiaoping Tang¹, Qiao Liu¹, Zijing Sun¹, Zhaofeng Feng¹, Heng Zhao², Lianggeng Gong¹

Affiliations

¹ Department of Medical Imaging Center, Second Affiliated Hospital of Nanchang University, Nanchang, China.
² Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.

Abstract

Texture analysis (TA) is a newly arisen field that can detect the invisible MRI signal changes among image pixels. Myocardial infarction (MI) is cardiomyocyte necrosis caused by myocardial ischemia and hypoxia, becoming the primary cause of death and disability worldwide. In recent years, various TA studies have been performed in patients with MI and show a good clinical application prospect. This review briefly presents the main pathogenesis and pathophysiology of MI, introduces the overview and workflow of TA, and summarizes multiple magnetic resonance TA (MRTA) clinical applications in MI. We also discuss the facing challenges currently for clinical utilization and propose the prospect.

Keywords: machine learning; magnetic resonance imaging; myocardial infarction; stratifying risk; texture analysis (TA).

Publication types

Review