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A Fully Automated Method for Spinal Canal Detection in Computed Tomography Images

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A Fully Automated Method for Spinal Canal Detection in Computed Tomography Images

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dc.contributor.author Díaz Parra, Antonio es_ES
dc.contributor.author Arana Fernandez de Moya, Estanislao es_ES
dc.contributor.author Moratal Pérez, David es_ES
dc.date.accessioned 2017-07-11T09:51:42Z
dc.date.available 2017-07-11T09:51:42Z
dc.date.issued 2014
dc.identifier.issn 1557-170X
dc.identifier.uri http://hdl.handle.net/10251/84908
dc.description.abstract This work presents a new automated method for spinal canal detection in Computed Tomography (CT) images. It uses both 2D and 3D information and the algorithm extracts the spinal canal automatically. The procedure can be divided into three main steps. Firstly, a thresholding and a set of morphological operations were applied. Secondly, 3D connectivity analysis was defined to extract the objects forming part of the spinal canal. Finally, the centroid of each slice constituting the spinal canal object was computed. Furthermore, interpolation and extrapolation of data were performed, if required. The method was applied on two different groups, each one coming from different acquisition systems. A total of 25 patients and 8704 images were used. An experienced radiologist evaluated the method qualitatively supporting the utility of it, as all extracted points fell into the spinal canal. Therefore, our method was able to reduce the workload and detect spinal canal objectively. We expect to carry out a quantitative evaluation in our future research. The qualitative outcome of this work suggests promising results. es_ES
dc.language Inglés es_ES
dc.relation.ispartof IEEE Engineering in Medicine and Biology Society. Conference Proceedings es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject SEGMENTATION es_ES
dc.subject CT es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title A Fully Automated Method for Spinal Canal Detection in Computed Tomography Images es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/EMBC.2014.6944875
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Biomateriales e Ingeniería Tisular - Centre de Biomaterials i Enginyeria Tissular es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Díaz Parra, A.; Arana Fernandez De Moya, E.; Moratal Pérez, D. (2014). A Fully Automated Method for Spinal Canal Detection in Computed Tomography Images. IEEE Engineering in Medicine and Biology Society. Conference Proceedings. 2014:5514-5517. doi:10.1109/EMBC.2014.6944875 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1109/EMBC.2014.6944875 es_ES
dc.description.upvformatpinicio 5514 es_ES
dc.description.upvformatpfin 5517 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2014 es_ES
dc.relation.senia 279488 es_ES


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