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Automatic segmentation of the spine by means of a probabilistic atlas with a special focus on ribs suppression. Preliminary results

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Automatic segmentation of the spine by means of a probabilistic atlas with a special focus on ribs suppression. Preliminary results

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dc.contributor.author Ruiz España, Silvia es_ES
dc.contributor.author Domingo Esteve, Juan de Mata es_ES
dc.contributor.author Díaz Parra, Antonio es_ES
dc.contributor.author Durá Martínez, Esther es_ES
dc.contributor.author D'Ocón Alcañiz, Víctor es_ES
dc.contributor.author Arana Fernandez de Moya, Estanislao es_ES
dc.contributor.author Moratal Pérez, David es_ES
dc.date.accessioned 2017-07-10T09:09:37Z
dc.date.available 2017-07-10T09:09:37Z
dc.date.issued 2015
dc.identifier.issn 1557-170X
dc.identifier.uri http://hdl.handle.net/10251/84814
dc.description.abstract Spine is a structure commonly involved in several prevalent diseases. In clinical diagnosis, therapy, and surgical intervention, the identification and segmentation of the vertebral bodies are crucial steps. However, automatic and detailed segmentation of vertebrae is a challenging task, especially due to the proximity of the vertebrae to the corresponding ribs and other structures such as blood vessels. In this study, to overcome these problems, a probabilistic atlas of the spine, including cervical, thoracic and lumbar vertebrae has been built to introduce anatomical knowledge in the segmentation process, aiming to deal with overlapping gray levels and the proximity to other structures. From a set of 3D images manually segmented by a physician (training data), a 3D volume indicating the probability of each voxel of belonging to the spine has been developed, being necessary the generation of a probability map and its deformation to adapt to each patient. To validate the improvement of the segmentation using the atlas developed in the testing data, we computed the Hausdorff distance between the manually-segmented ground truth and an automatic segmentation and also between the ground truth and the automatic segmentation refined with the atlas. The results are promising, obtaining a higher improvement especially in the thoracic region, where the ribs can be found and appropriately eliminated. 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 CONSTRUCTION es_ES
dc.subject IMAGES es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Automatic segmentation of the spine by means of a probabilistic atlas with a special focus on ribs suppression. Preliminary results es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/EMBC.2015.7318781
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Biomateriales e Ingeniería Tisular - Centre de Biomaterials i Enginyeria Tissular es_ES
dc.description.bibliographicCitation Ruiz España, S.; Domingo Esteve, JDM.; Díaz Parra, A.; Durá Martínez, E.; D'ocón Alcañiz, V.; Arana Fernandez De Moya, E.; Moratal Pérez, D. (2015). Automatic segmentation of the spine by means of a probabilistic atlas with a special focus on ribs suppression. Preliminary results. IEEE Engineering in Medicine and Biology Society. Conference Proceedings. 2014-2017. doi:10.1109/EMBC.2015.7318781 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1109/EMBC.2015.7318781 es_ES
dc.description.upvformatpinicio 2014 es_ES
dc.description.upvformatpfin 2017 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 297405 es_ES


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