As an innovative imaging processing mode, radiomics can extract microscopic information from images for quantitative analysis. The selected features and machine learning model can provide valuable data for clinical decisions in heart disease. Up till now, several studies have demonstrated the role of radiomics in the accurate diagnosis and discrimination of heart disease as well as in the prognosis assessment of the patient with heart disease. Cardiac Magnetic Resonance (CMR) displays a wide range of advantages, such as multi-parameter, multi-sequence, multi-plane, and no radiation. CMR has advantages in noninvasive assessment of structural and functional heart disease. This paper reviews the workflow and related studies on common heart disease based on CMR images in radiomics.
Cite this article
Progress in radiomics of common heart disease based on cardiac magnetic resonance imaging
1 Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 310000 Hangzhou, P. R. China
*Correspondence: email@example.com (Hong-Jie Hu)
J. Mol. Clin. Med. 2021, 4(1), 29–38; https://doi.org/10.31083/j.jmcm.2021.01.801
Submitted: 24 September 2020 | Revised: 12 November 2020 | Accepted: 4 February 2021 | Published: 20 March 2021
Copyright: © 2021 The Authors. Published by IMR Press.
This is an open access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/).
Cardiac magnetic resonance