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Skeletonization of volumetric vascular images - Distance information utilized for visualization
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2001 (English)In: JOURNAL OF COMBINATORIAL OPTIMIZATION, ISSN 1382-6905, Vol. 5, no 1, p. 27-41Article in journal (Refereed) Published
Abstract [en]

This paper deals with two techniques to represent relevant information from volumetric vascular images in a more compact format. The images are obtained with contrast-enhanced magnetic resonance angiography (MRA). After segmentation of the vessels, the cu

Place, publisher, year, edition, pages
2001. Vol. 5, no 1, p. 27-41
Keywords [en]
shape representation; 3D skeleton; reverse distance transform; magnetic resonance angiography; stenosis detection; PARALLEL THINNING ALGORITHM; 3D DIGITAL IMAGES; TOPOLOGY; ANGIOGRAPHY; DIMENSIONS; TRANSFORMATIONS; SEGMENTATION; SURFACES
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-38367OAI: oai:DiVA.org:uu-38367DiVA, id: diva2:66266
Note
Addresses: Nystrom I, Univ Uppsala, Ctr Image Anal, Uppsala, Sweden. Univ Uppsala, Ctr Image Anal, Uppsala, Sweden. Linkoping Univ Hosp, Div Med Radiol, S-58185 Linkoping, Sweden.Available from: 2005-08-25 Created: 2005-08-25 Last updated: 2018-01-11

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