2021-03-09T09:39:46Z
2021-03-09T09:39:46Z
2020-03-06
2021-03-09T09:39:46Z
Radiomics is a novel image analysis technique, whereby voxel-level information is extracted from digital images and used to derive multiple numerical quantifiers of shape and tissue character. Cardiac magnetic resonance (CMR) is the reference imaging modality for assessment of cardiac structure and function. Conventional analysis of CMR scans is mostly reliant on qualitative image analysis and basic geometric quantifiers. Small proof-of-concept studies have demonstrated the feasibility and superior diagnostic accuracy of CMR radiomics analysis over conventional reporting. CMR radiomics has the potential to transform our approach to defining image phenotypes and, through this, improve diagnostic accuracy, treatment selection, and prognostication. The purpose of this article is to provide an overview of radiomics concepts for clinicians, with particular consideration of application to CMR. We will also review existing literature on CMR radiomics, discuss challenges, and consider directions for future work.
Article
Accepted version
Published version
English
Ressonància magnètica; Diagnòstic per la imatge; Aprenentatge automàtic; Magnetic resonance; Diagnostic imaging; Machine learning
Oxford University Press
Reproducció del document publicat a: https://doi.org/10.1093/ehjci/jeaa028
European Heart Journal-Cardiovascular Imaging, 2020, vol. 21, num. 4, p. 349-356
https://doi.org/10.1093/ehjci/jeaa028
info:eu-repo/grantAgreement/EC/H2020/825903/EU//euCanSHare
(c) cc-by Raisi Estabragh, Zahra et al., 2020
http://creativecommons.org/licenses/by/3.0/es/