dc.contributor
Neufert, Esra
dc.contributor
Saur, Stefab
dc.contributor.author
Quirante Ruiz, Victoria
dc.identifier
https://hdl.handle.net/2099.1/7923
dc.description.abstract
Projecte fet en col.laboració amb ETH Zurich
dc.description.abstract
The goal of this project was the development of a fast segmentation algorithm for
coronary arteries in MSCT datasets that simultaneously extracts the vascular
tree and provides a rough estimate of the vessel's centerline. For that purpose,
and due to considerations that will be presented later on, the segmentation
technique for boundary extraction known as livewire was chosen as the basis.
The project was developed in MeVisLab, a fast prototyping environment for
medical image processing and visualization. The evaluation of the algorithm was
carried out on a wide set of MSCT scans provided by the Institute of Diagnostic
Radiology, University Hospital Zurich.
dc.format
application/pdf
dc.publisher
Universitat Politècnica de Catalunya
dc.rights
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights
Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.subject
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Diagnòstic per la imatge
dc.subject
Medicine -- Graphic methods
dc.subject
Image processing
dc.subject
Coronary heart disease
dc.subject
Medicina -- Mètodes gràfics
dc.subject
Imatges -- Processament
dc.subject
Malalties coronàries
dc.title
Segmentation of Coronary Arteries in MSCT Datasets Using Livewire
dc.type
Master thesis (pre-Bologna period)
