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Proceedings Paper

Measurement of stenosis from magnetic resonance angiography using vessel skeletons
Author(s): Peter J. Yim; Rakesh Mullick; Ronald M. Summers; Hani Marcos; Juan Raul Cebral; Rainald Loehner; Peter L. Choyke
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Paper Abstract

Measurement of stenosis due to atherosclerosis is essential for interventional planning. Currently, measurement of stenosis from magnetic resonance angiography (MRA) is made based on 2D maximum intensity projection (MIP) images. This methodology, however, is subjective and does not take full advantage of the 3D nature of MRA. To address these limitations we present a deformable model for reconstructing the vessel surface with particular application to the carotid artery. The deformable model is based on a cylindrical coordinate system of a curvilinear axes. In this coordinate system, the location of each point on the surface of the deformable model is described by its axial, circumferential and radial position. The points on the surface deform in the radial direction so as to minimize discontinuity in radial position between adjacent points while maximizing the proximity of the surface to local edges in the image. The algorithm has no bias towards either narrower or wider cross- sectional shapes and is thus appropriate for the measurement of stenosis. Axes of the vessels are indicated manually or determined by axes detection methods. Once completed, the surface reconstruction lends itself directly to 3D methods for measuring cross-sectional diameter and area.

Paper Details

Date Published: 20 April 2000
PDF: 11 pages
Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); doi: 10.1117/12.383404
Show Author Affiliations
Peter J. Yim, National Institutes of Health (United States)
Rakesh Mullick, National Institutes of Health (United States)
Ronald M. Summers, National Institutes of Health (United States)
Hani Marcos, National Institutes of Health (United States)
Juan Raul Cebral, George Mason Univ. (United States)
Rainald Loehner, George Mason Univ. (United States)
Peter L. Choyke, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 3978:
Medical Imaging 2000: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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