Automated stenosis quantification in coronary arteriograms

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.

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor dc:publisher

University of Nevada, Las Vegas

Year

1999

Author dc:creator

• Zhang, Yu

Contributors dc:contributor

• Evangelos A. Yfantis

Statement dc:rights

• IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

Language dc:language

English

Identifier

https://oasis.library.unlv.edu/rtds/1015

OAI identifier oai:identifier

oai:oasis.library.unlv.edu:rtds-2014