Award Date

1-1-1999

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Committee Member

Evangelos A. Yfantis

Number of Pages

75

Abstract

Computer-assisted techniques have been shown to be useful in estimating the diameter and cross-sectional area of coronary artery lesions. In this study, two different strategies are employed for identification of artery contours, i.e., scanning and tracKing The scanning approach is accomplished by a canny edge detector. The edge tracking approach is in favor due to its low variability and fast analysis time. Given a start point and search direction, a tracking process automatically detects the arteries edge. From the edge points, a quantitative analysis process calculates the arteries diameter and percent diameter stenosis. As the software runs within a second, we conclude that this technique is capable of immediate estimation of the extent of coronary artery lesions.

Keywords

Arteriograms; Automated; Coronary; Quantification; Stenosis

Controlled Subject

Computer science; Medicine

File Format

pdf

File Size

1986.56 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Permissions

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Identifier

https://doi.org/10.25669/xxa8-yfhp


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