DocumentCode :
1558120
Title :
Vessel surface reconstruction with a tubular deformable model
Author :
Yim, Peter J. ; Cebral, Juan J. ; Mullick, Rakesh ; Marcos, Hani B. ; Choyke, Peter L.
Author_Institution :
Imaging Sci. Program, Nat. Inst. of Health, Bethesda, MD, USA
Volume :
20
Issue :
12
fYear :
2001
Firstpage :
1411
Lastpage :
1421
Abstract :
Three-dimensional (3-D) angiographic methods are gaining acceptance for evaluation of atherosclerotic disease. However, measurement of vessel stenosis from 3-D angiographic methods can be problematic due to limited image resolution and contrast. We present a method for reconstructing vessel surfaces from 3-D angiographic methods that allows for objective measurement of vessel stenosis. The method is a deformable model that employs a tubular coordinate system. Vertex merging is incorporated into the coordinate system to maintain even vertex spacing and to avoid problems of self-intersection of the surface. The deformable model was evaluated on clinical magnetic resonance (MR) images of the carotid (n=6) and renal (n=2) arteries, on an MR image of a physical vascular phantom and on a digital vascular phantom. Only one gross error occurred for all clinical images. All reconstructed surfaces had a realistic, smooth appearance. For all segments of the physical vascular phantom, vessel radii from the surface reconstruction had an error of less than 0.2 of the average voxel dimension. Variability of manual initialization of the deformable model had negligible effect on the measurement of the degree of stenosis of the digital vascular phantom.
Keywords :
biomedical MRI; blood vessels; diseases; image reconstruction; image resolution; kidney; medical image processing; MR image; average voxel dimension; carotid arteries; clinical magnetic resonance images; digital vascular phantom; magnetic resonance imaging; manual initialization variability; medical diagnostic imaging; physical vascular phantom; renal arteries; stenosis degree; surface reconstruction; surface self-intersection; tubular deformable model; vessel surface reconstruction; Arteries; Deformable models; Diseases; Image reconstruction; Image resolution; Image segmentation; Imaging phantoms; Magnetic resonance; Merging; Surface reconstruction; Carotid Arteries; Carotid Stenosis; Constriction, Pathologic; Elasticity; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Angiography; Models, Cardiovascular; Phantoms, Imaging; Renal Artery Obstruction; Surface Properties;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.974935
Filename :
974935
Link To Document :
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