Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/106432
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dionysio, Christina | en_US |
dc.contributor.author | Wild, Daniel | en_US |
dc.contributor.author | Pepe, Antonio | en_US |
dc.contributor.author | Gsaxner, Christina | en_US |
dc.contributor.author | Li, Jianning | en_US |
dc.contributor.author | Alvarez, Luis | en_US |
dc.contributor.author | Egger, Jan | en_US |
dc.date.accessioned | 2021-04-05T14:57:05Z | - |
dc.date.available | 2021-04-05T14:57:05Z | - |
dc.date.issued | 2021 | en_US |
dc.identifier.isbn | 978-151064031-3 | en_US |
dc.identifier.issn | 1605-7422 | en_US |
dc.identifier.other | Scopus | - |
dc.identifier.uri | http://hdl.handle.net/10553/106432 | - |
dc.description.abstract | Downloading of the abstract is permitted for personal use only.A practical method to analyze blood vessels, like the aorta, is to calculate the vessel's centerline and evaluate its shape in a CT or CTA scan. This contribution introduces a cloud-based centerline tool for the aorta, which computes an initial centerline from a CTA scan with two user given seed points. Afterwards, this initial centerline can be smoothed in a second step. The work done for this contribution was implemented into an existing online tool for medical image analysis, called Studierfenster. In order to evaluate the outcome of this contribution, we tested the smoothed centerline computed within Studierfenster against 40 baseline centerlines from a public available CTA challenge dataset. In doing so, we computed a minimum, maximum, and mean distance between the two centerlines in mm for every data sample, resulting in the smallest distance of 0.59mm, an overall maximum distance of 14.18mm, and a mean distance for all samples of 3.86mm with a standard deviation of 0.99mm. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Progress in Biomedical Optics and Imaging - Proceedings of SPIE | en_US |
dc.source | Progress in Biomedical Optics and Imaging - Proceedings of SPIE [ISSN 1605-7422], v. 11601, (Enero 2021) | en_US |
dc.subject | 1203 Ciencia de los ordenadores | en_US |
dc.subject | 120601 Construcción de algoritmos | en_US |
dc.subject | 220990 Tratamiento digital. Imágenes | en_US |
dc.subject.other | Aorta | en_US |
dc.subject.other | Calculation | en_US |
dc.subject.other | Centerline | en_US |
dc.subject.other | Client/Server | en_US |
dc.subject.other | Studierfenster | en_US |
dc.subject.other | Tracking | en_US |
dc.title | A cloud-based centerline algorithm for Studierfenster | en_US |
dc.type | info:eu-repo/semantics/conferenceObject | en_US |
dc.type | ConferenceObject | en_US |
dc.relation.conference | Medical Imaging 2021 | en_US |
dc.identifier.doi | 10.1117/12.2588268 | en_US |
dc.identifier.scopus | 85103215398 | - |
dc.contributor.authorscopusid | 57222554124 | - |
dc.contributor.authorscopusid | 57213606134 | - |
dc.contributor.authorscopusid | 57190872578 | - |
dc.contributor.authorscopusid | 57202292092 | - |
dc.contributor.authorscopusid | 57218473641 | - |
dc.contributor.authorscopusid | 57222559257 | - |
dc.contributor.authorscopusid | 23388906400 | - |
dc.relation.volume | 11601 | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Actas de congresos | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Enero 2021 | en_US |
dc.identifier.conferenceid | events128432 | - |
dc.identifier.ulpgc | Sí | en_US |
dc.contributor.buulpgc | BU-INF | en_US |
dc.description.sjr | 0,246 | |
dc.description.sjrq | - | |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
crisitem.author.dept | GIR Modelos Matemáticos | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.orcid | 0000-0002-6953-9587 | - |
crisitem.author.parentorg | Departamento de Informática y Sistemas | - |
crisitem.author.fullName | Álvarez León, Luis Miguel | - |
Appears in Collections: | Actas de congresos |
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