DocumentCode :
1647244
Title :
Representing volumetric vascular structures using curve skeletons
Author :
Nystrom, Ingela ; Baja, Gabriella Sanniti Di ; Svensson, Stina
Author_Institution :
Centre for Image Analysis, Uppsala Univ., Sweden
fYear :
2001
Firstpage :
495
Lastpage :
500
Abstract :
This paper describes a technique to represent relevant information of tree-like structures in a compact way. The technique is general. In the application described here, the images are obtained with contrast-enhanced magnetic resonance angiography (MRA). After segmentation, the vessels are reduced to fully reversible surface skeletons. Thereafter a novel approach to curve skeletonization based on the detection of junctions and curves in the surface skeleton is used. This procedure results in a good description of the tree structure of the vessels, where they are represented with a much smaller number of voxels. This representation is suitable for further quantitative analysis, e.g., measurements of vessel width and length
Keywords :
biomedical MRI; edge detection; image enhancement; image representation; image segmentation; image thinning; medical image processing; trees (mathematics); MRA; contrast-enhanced images; curve detection; curve skeleton representation; curve skeletonization; junction detection; magnetic resonance angiography; reversible surface skeletons; segmentation; surface skeleton; tree-like structures; vessel length; vessel width; volumetric vascular structures; Angiography; Computed tomography; Data mining; Image analysis; Image segmentation; Magnetic resonance imaging; Shape measurement; Skeleton; Solids; Tree data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
Conference_Location :
Palermo
Print_ISBN :
0-7695-1183-X
Type :
conf
DOI :
10.1109/ICIAP.2001.957058
Filename :
957058
Link To Document :
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