Show simple item record

dc.contributorNeufert, Esra
dc.contributorSaur, Stefab
dc.contributor.authorQuirante Ruiz, Victoria
dc.descriptionProjecte fet en col.laboració amb ETH Zurich
dc.description.abstractThe 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.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Medicina::Diagnòstic per la imatge
dc.subject.lcshMedicine -- Graphic methods
dc.subject.lcshImage processing
dc.subject.lcshCoronary heart disease
dc.titleSegmentation of Coronary Arteries in MSCT Datasets Using Livewire
dc.typeMaster thesis (pre-Bologna period)
dc.subject.lemacMedicina -- Mètodes gràfics
dc.subject.lemacImatges -- Processament
dc.subject.lemacMalalties coronàries
dc.rights.accessOpen Access
dc.audience.educationlevelEstudis de primer/segon cicle
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona

Files in this item


This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain