Cardiac magnetic resonance radiomics: basic principles and clinical perspectives

dc.contributor.authorRaisi-Estabragh, Zahra
dc.contributor.authorIzquierdo, Cristián
dc.contributor.authorCampello Román, Víctor Manuel
dc.contributor.authorMartin Isla, Carlos
dc.contributor.authorJaggi, Akshay
dc.contributor.authorHarvey, Nicholas C.
dc.contributor.authorLekadir, Karim, 1977-
dc.contributor.authorPetersen, Steffen E.
dc.date.accessioned2021-03-09T09:39:46Z
dc.date.available2021-03-09T09:39:46Z
dc.date.issued2020-03-06
dc.date.updated2021-03-09T09:39:46Z
dc.description.abstractRadiomics 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.
dc.format.extent8 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec705782
dc.identifier.issn2047-2404
dc.identifier.pmid32142107
dc.identifier.urihttps://hdl.handle.net/2445/174752
dc.language.isoeng
dc.publisherOxford University Press
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1093/ehjci/jeaa028
dc.relation.ispartofEuropean Heart Journal-Cardiovascular Imaging, 2020, vol. 21, num. 4, p. 349-356
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/825903/EU//euCanSHare
dc.relation.urihttps://doi.org/10.1093/ehjci/jeaa028
dc.rights(c) cc-by Raisi Estabragh, Zahra et al., 2020
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.sourceArticles publicats en revistes (Matemàtiques i Informàtica)
dc.subject.classificationRessonància magnètica
dc.subject.classificationDiagnòstic per la imatge
dc.subject.classificationAprenentatge automàtic
dc.subject.otherMagnetic resonance
dc.subject.otherDiagnostic imaging
dc.subject.otherMachine learning
dc.titleCardiac magnetic resonance radiomics: basic principles and clinical perspectives
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typeinfo:eu-repo/semantics/publishedVersion

Fitxers

Paquet original

Mostrant 1 - 1 de 1
Carregant...
Miniatura
Nom:
705782.pdf
Mida:
504.81 KB
Format:
Adobe Portable Document Format