Paper
20 April 2000 Measurement of stenosis from magnetic resonance angiography using vessel skeletons
Peter J. Yim, Rakesh Mullick, Ronald M. Summers, Hani Marcos, Juan Raul Cebral, Rainald Loehner, Peter L. Choyke
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter J. Yim, Rakesh Mullick, Ronald M. Summers, Hani Marcos, Juan Raul Cebral, Rainald Loehner, and Peter L. Choyke "Measurement of stenosis from magnetic resonance angiography using vessel skeletons", Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); https://doi.org/10.1117/12.383404
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Arteries

Image segmentation

3D metrology

Magnetic resonance angiography

3D modeling

Binary data

Natural surfaces

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