Back to Search
Start Over
Cardiac magnetic resonance radiomics: basic principles and clinical perspectives
- Source :
- Dipòsit Digital de la UB, Universidad de Barcelona, European Heart Journal Cardiovascular Imaging
- Publication Year :
- 2020
- Publisher :
- Oxford University Press (OUP), 2020.
-
Abstract
- 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.
- Subjects :
- Diagnostic Imaging
Magnetic Resonance Spectroscopy
Conventional analysis
Diagnostic accuracy
Review
030204 cardiovascular system & hematology
Machine learning
computer.software_genre
cardiac magnetic resonance
030218 nuclear medicine & medical imaging
03 medical and health sciences
Digital image
0302 clinical medicine
Radiomics
Aprenentatge automàtic
Medicine
Radiology, Nuclear Medicine and imaging
Cardiac structure
texture analysis
image-based diagnosis
Modality (human–computer interaction)
business.industry
Ressonància magnètica
Heart
General Medicine
Magnetic Resonance Imaging
3. Good health
Editor's Choice
Diagnòstic per la imatge
machine learning
radiomics
Magnetic resonance
Diagnostic imaging
Artificial intelligence
Cardiology and Cardiovascular Medicine
Cardiac magnetic resonance
business
computer
Subjects
Details
- ISSN :
- 20472412 and 20472404
- Volume :
- 21
- Database :
- OpenAIRE
- Journal :
- European Heart Journal - Cardiovascular Imaging
- Accession number :
- edsair.doi.dedup.....36aaa00ab9105e3b865bdcbb6cbb7528
- Full Text :
- https://doi.org/10.1093/ehjci/jeaa028