Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/74040
Campo DC | Valor | idioma |
---|---|---|
dc.contributor.author | Chalopin, Claire | en_US |
dc.contributor.author | Krissian, Karl | en_US |
dc.contributor.author | Meixensberger, Jurgen | en_US |
dc.contributor.author | Muns, Andrea | en_US |
dc.contributor.author | Arlt, Felix | en_US |
dc.contributor.author | Lindner, Dirk | en_US |
dc.date.accessioned | 2020-08-07T11:29:27Z | - |
dc.date.available | 2020-08-07T11:29:27Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.issn | 0013-5585 | en_US |
dc.identifier.other | Scopus | - |
dc.identifier.uri | http://hdl.handle.net/10553/74040 | - |
dc.description.abstract | In this work, we adapted a semi-automatic segmentation algorithm for vascular structures to extract cerebral blood vessels in the 3D intraoperative contrastenhanced ultrasound angiographic (3D-iUSA) data of the brain. We quantitatively evaluated the segmentation method with a physical vascular phantom. The geometrical features of the segmentation model generated by the algorithm were compared with the theoretical tube values and manual delineations provided by observers. For a silicon tube with a radius of 2 mm, the results showed that the algorithm overestimated the lumen radii values by about 1 mm, representing one voxel in the 3D-iUSA data. However, the observers were more hindered by noise and artifacts in the data, resulting in a larger overestimation of the tube lumen (twice the reference size). The first results on 3D-iUSA patient data showed that the algorithm could correctly restitute the main vascular segments with realistic geometrical features data, despite noise, artifacts and unclear blood vessel borders. A future aim of this work is to provide neurosurgeons with a visualization tool to navigate through the brain during aneurysm clipping operations. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Biomedizinische Technik (Berlin. Zeitschrift) | en_US |
dc.source | Biomedizinische Technik [ISSN 0013-5585], v. 58 (3), p. 293-302, (Junio 2013) | en_US |
dc.subject | 3314 Tecnología médica | en_US |
dc.subject.other | Blood Vessel | en_US |
dc.subject.other | Neurosurgery | en_US |
dc.subject.other | Phantom | en_US |
dc.subject.other | Visualization | en_US |
dc.title | Evaluation of a semi-automatic segmentation algorithm in 3D intraoperative ultrasound brain angiography | en_US |
dc.type | info:eu-repo/semantics/Article | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1515/bmt-2012-0089 | en_US |
dc.identifier.scopus | 84881495476 | - |
dc.contributor.authorscopusid | 6506500642 | - |
dc.contributor.authorscopusid | 6602218913 | - |
dc.contributor.authorscopusid | 7006449078 | - |
dc.contributor.authorscopusid | 37061568400 | - |
dc.contributor.authorscopusid | 45260928700 | - |
dc.contributor.authorscopusid | 7103011600 | - |
dc.description.lastpage | 302 | en_US |
dc.identifier.issue | 3 | - |
dc.description.firstpage | 293 | en_US |
dc.relation.volume | 58 | en_US |
dc.investigacion | Ciencias de la Salud | en_US |
dc.type2 | Artículo | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Junio 2013 | en_US |
dc.identifier.ulpgc | Sí | es |
dc.description.sjr | 0,183 | |
dc.description.jcr | 1,227 | |
dc.description.sjrq | Q4 | |
dc.description.jcrq | Q3 | |
dc.description.scie | SCIE | |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
Colección: | Artículos |
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