Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/106432
Título: | A cloud-based centerline algorithm for Studierfenster | Autores/as: | Dionysio, Christina Wild, Daniel Pepe, Antonio Gsaxner, Christina Li, Jianning Alvarez, Luis Egger, Jan |
Clasificación UNESCO: | 1203 Ciencia de los ordenadores 120601 Construcción de algoritmos 220990 Tratamiento digital. Imágenes |
Palabras clave: | Aorta Calculation Centerline Client/Server Studierfenster, et al. |
Fecha de publicación: | 2021 | Publicación seriada: | Progress in Biomedical Optics and Imaging - Proceedings of SPIE | Conferencia: | Medical Imaging 2021 | Resumen: | 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. | URI: | http://hdl.handle.net/10553/106432 | ISBN: | 978-151064031-3 | ISSN: | 1605-7422 | DOI: | 10.1117/12.2588268 | Fuente: | Progress in Biomedical Optics and Imaging - Proceedings of SPIE [ISSN 1605-7422], v. 11601, (Enero 2021) |
Colección: | Actas de congresos |
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