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Volumetry of epidural hematomas in computed tomography images: Comparative study between linear and volumetric methods

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dc.contributor.authorVera, Miguel
dc.contributor.authorHuérfano, Yoleidy
dc.contributor.authorHernández, Carlos
dc.contributor.authorValbuena, Oscar
dc.contributor.authorSalazar, Williams
dc.contributor.authorVera, María Isabel
dc.contributor.authorBarrera, Doris
dc.contributor.authorBorrero, Maryury
dc.contributor.authorMolina, Ángel Valentín
dc.contributor.authorMartínez, Luis Javier
dc.contributor.authorSalazar, Juan
dc.contributor.authorGelvez, Elkin
dc.contributor.authorContreras, Yudith
dc.contributor.authorSaenz, Frank
dc.date.accessioned2019-01-25T19:45:35Z
dc.date.available2019-01-25T19:45:35Z
dc.date.issued2018
dc.description.abstractThis work evaluates the performance of some methods employed for assessing the volume of seven subdural hematomas (EDH), present in multi-layer computed tomography images. Firstly, a reference volume is considered to be that obtained by a neurosurgeon using the manual planimetric method (MPM). Secondly, the volume of the 7 EDHs is obtained considering both the original version of the ABC/2 method and two of its variants, identified in this paper as ABC/3 method and 2ABC/3 method. The ABC methods allow for calculation of the volume of the hematoma under the assumption that the EDH has an ellipsoidal shape. In third place, an intelligent automatic technique (SAT) is implemented that generates the three-dimensional segmentation of each EDH and from it the volume of the hematoma is calculated. The SAT consists of the pre-processing, segmentation and post-processing stages. In order to make judgments about the performance of the SAT, the Dice coefficient (Dc) is used to compare the dilated segmentations of the EDH with the EDH segmentations generated manually. Finally, the percentage relative error is calculated as a metric to evaluate the methodologies considered. The results show that the SAT method exhibits the best performance generating an average percentage error of less than 2%.eng
dc.identifier.issn18564550
dc.identifier.urihttp://hdl.handle.net/20.500.12442/2530
dc.language.isoengeng
dc.publisherSociedad Latinoamericana de Hipertensiónspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.licenseLicencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacionalspa
dc.sourceRevista Latinoamericana de Hipertensiónspa
dc.sourceVol. 13, No. 4 (2018)spa
dc.source.urihttp://www.revhipertension.com/rlh_4_2018/6_volumetry_epidural_hematomas.pdfeng
dc.subjectABC Methodseng
dc.subjectAutomatic Intelligent Techniqueeng
dc.subjectSegmentationeng
dc.subjectVolumetry of epidural hematomaseng
dc.titleVolumetry of epidural hematomas in computed tomography images: Comparative study between linear and volumetric methodseng
dc.title.alternativeEstimación del tamaño de hematomas epidurales en imágenes de tomografía computarizada: estudio comparativo entre métodos lineales y volumétricosspa
dc.typearticleeng
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