Estamos realizando la búsqueda. Por favor, espere...
1549
37
172
26128
4138
2532
334
Abstract: Purpose: Tumor heterogeneityinmedicalimagingisacurrentresearchtrendduetoitspotentialre- lationship withtumormalignancy.Theaimofthisstudyistoanalyzetheeffectofdynamicrangeand matrix sizechangesontheresultsofdifferentheterogeneitymeasures. Materials andmethods: Four patientsharboringthreeglioblastomasandonemetastasiswereconsidered. Sixteen texturalheterogeneitymeasureswerecomputedforeachpatient,withaconfiguration including co-occurrence matrices(CM)features(localheterogeneity)andrun-lengthmatrices(RLM)features (regional heterogeneity).Thecoefficient ofvariationmeasuredagreementbetweenthetexturalmea- sures intwotypesofexperiments:(i) fixing thematrixsizeandchangingthedynamicrangeand(ii) fixing thedynamicrangeandchangingthematrixsize. Results: None ofthemeasuresconsideredwererobustunderdynamicrangechanges.TheCMEntropy and theRLMhighgray-levelrunemphasis(HGRE)weretheoutstandingtexturalfeaturesduetotheir robustness undermatrixsizechanges.Also,theRLMlowgray-levelrunemphasis(LGRE)providedrobust results whenthedynamicrangeconsideredwassufficiently high(morethan8levels).Allofthere- maining texturalfeatureswerenotrobust. Conclusion: Tumor texturestudiesbasedonimageswithdifferentcharacteristics(e.g.multi-center studies) should first fix thedynamicrangetobeconsidered.Forstudiesinvolvingimagesofdifferent resolutions either(i)onlyrobustmeasuresshouldbeused(inourstudyCMentropy,RLMHGREand/or RLM LGRE)or(ii)imagesshouldberesampledtomatchthoseofthelowestresolutionbeforecomputing the texturalfeatures.
Fuente: Computers in Biology and Medicine Volume 78, 1 November 2016, Pages 49-57
Editorial: Elsevier
Año de publicación: 2016
Nº de páginas: 9
Tipo de publicación: Artículo de Revista
DOI: 10.1016/j.compbiomed.2016.09.011
ISSN: 0010-4825,1879-0534
Leer publicación
MOLINA, DAVID
PÉREZ BETETA, JULIÁN
MARTÍNEZ GONZÁLEZ, ALICIA
JUAN MARTINO GONZALEZ
CARLOS JOSE VELASQUEZ RODRIGUEZ
ARANA, ESTANISLAO
PÉREZ GARCÍA, VÍCTOR M.
Volver