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Application of texture analysis to muscle MRI: 1-What kind of information should be expected from texture analysis?

2015Journal article Open access
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dc.contributor.authorCertaines, Jacques De
dc.contributor.authorLarcher, Thibaut
dc.contributor.authorDuda, Dorota
dc.contributor.authorAzzabou, Noura
dc.contributor.authorEliat, Pierre-Antoine
dc.contributor.authorEscudero, Luis M.
dc.contributor.authorPinheiro, Antonio M. G.
dc.contributor.authorYang, Guanyu
dc.contributor.authorCoatrieux, Jean-Louis
dc.contributor.authorSnezkho, Eduard
dc.contributor.authorShukelovich, Alexey
dc.contributor.authorPereira, Manuela
dc.contributor.authorLerski, Richard
dc.date.accessioned2020-02-14T11:33:38Z
dc.date.available2020-02-14T11:33:38Z
dc.date.issued2015
dc.description.abstractSeveral previous clinical or preclinical studies using computerized texture analysis of MR Images have demonstrated much more clinical discrimination than visual image analysis by the radiologist. In muscular dystrophy, a discriminating power has been already demonstrated with various methods of texture analysis of magnetic resonance images (MRI-TA). Unfortunately, a scale gap exists between the spatial resolutions of histological and MR images making a direct correlation impossible. Furthermore, the effect of the various histological modifications on the gray level of each pixel is complex and cannot be easily analyzed. Consequently, clinicians will not accept the use of MRI-TA in routine practice if TA remains a “black box” without clinical correspondence at a tissue level. A goal therefore of the multicenter European COST action MYO-MRI is to optimize MRI-TA methods in muscular dystrophy and to elucidate the histological meaning of MRI textures.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1140/epjnbp/s40366-015-0017-1
dc.identifier.urihttp://hdl.handle.net/10400.6/9264
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectTexture analysispt_PT
dc.subjectMRIpt_PT
dc.titleApplication of texture analysis to muscle MRI: 1-What kind of information should be expected from texture analysis?pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleEPJ Nonlinear Biomedical Physicspt_PT
person.familyNameLarcher
person.familyNameDuda
person.familyNameEliat
person.familyNameEscudero
person.familyNamePinheiro
person.familyNameYang
person.familyNamePereira
person.givenNameThibaut
person.givenNameDorota
person.givenNamePierre-Antoine
person.givenNameLuis M.
person.givenNameAntonio
person.givenNameGuanyu
person.givenNameManuela
person.identifier2138556
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person.identifier.orcid0000-0001-8030-1820
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person.identifier.orcid0000-0002-5463-2578
person.identifier.orcid0000-0002-8648-6464
person.identifier.ridM-9160-2013
person.identifier.ridT-3359-2018
person.identifier.ridB-2723-2012
person.identifier.scopus-author-id8426863900
person.identifier.scopus-author-id16030556200
person.identifier.scopus-author-id8420644500
person.identifier.scopus-author-id35248984200
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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