Paper
12 May 2004 Semi-automatic segmentation and quantification of the internal carotid artery from 3D contrast-enhanced MR angiograms
Author Affiliations +
Abstract
A technique is presented for segmentation and quantification of stenosed internal carotid arteries in three-dimensional contrast-enhanced magnetic resonance angiography. Segmentation with sub-voxel accuracy of the internal carotid arteries (ICAs) has been achieved via level-set techniques in which the central axis serves as initialization. The central axis is determined with minmal user-interaction, viz. two user-defined points. Quantification is performed by measuring the cross-sectional area in the stenosis and at a reference segment in planes perpendicular to the central axis. The technique was applied to 52 ICAs. It is demonstrated that the method's reproducibility is better than the intra-observer agreement. Furthermore, the agreement between the presented method and the observers is better than the inter-observer agreement.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cornelis M. van Bemmel and Wiro J. Niessen "Semi-automatic segmentation and quantification of the internal carotid artery from 3D contrast-enhanced MR angiograms", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.534407
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Cited by 1 scholarly publication.
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KEYWORDS
Independent component analysis

Arteries

Image segmentation

Angiography

3D image processing

Inspection

Interfaces

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