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QUANTIFICATION OF CORONARY OCCLUSIONS FROM CINE-CORONARY ANGIOGRAMS

QUANTIFICATION OF CORONARY OCCLUSIONS FROM CINE-CORONARY ANGIOGRAMS Introduction Coronary angiography plays an important role in the clinical management of patients with ischemic heart disease. This procedure provides the clinician with detailed Information about the morphology of the coronary arterial system. To be able to interprete the functional significance of a coronary obstruction, the three-dimensional location within the arterial System and the severity of the obstruction must be known. The usual visual Interpretation of the two-dimensional cineangiograms from different projections severely limits the extraction of the necessary Information. Only a small part of the total amount of Information inherent in these Images becomes available. Due to this subjective process large inter- and intra-observer variations have been found in the estimation of the location and severity of coronary occlusions. As a first step in an attempt to improve the Interpretation of the coronary arteriograms by reproducible objective quantitative analysis, a Software algorithm has been developed for detecting the contours of selected coronary lesions from video digitized matrices. For this and other applications in the field of quantitative analysis of cardiac Images, a Computer based operator Interactive Cardiac Image Analysis System (CIAS) has been implemented at the Thoraxcenter Image Processing Laboratory ( 2 ) . Presently this system http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biomedizinische Technik / Biomedical Engineering de Gruyter

QUANTIFICATION OF CORONARY OCCLUSIONS FROM CINE-CORONARY ANGIOGRAMS

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References (3)

Publisher
de Gruyter
Copyright
Copyright © 2009 Walter de Gruyter
ISSN
0013-5585
eISSN
1862-278X
DOI
10.1515/bmte.1979.24.s1.199
Publisher site
See Article on Publisher Site

Abstract

Introduction Coronary angiography plays an important role in the clinical management of patients with ischemic heart disease. This procedure provides the clinician with detailed Information about the morphology of the coronary arterial system. To be able to interprete the functional significance of a coronary obstruction, the three-dimensional location within the arterial System and the severity of the obstruction must be known. The usual visual Interpretation of the two-dimensional cineangiograms from different projections severely limits the extraction of the necessary Information. Only a small part of the total amount of Information inherent in these Images becomes available. Due to this subjective process large inter- and intra-observer variations have been found in the estimation of the location and severity of coronary occlusions. As a first step in an attempt to improve the Interpretation of the coronary arteriograms by reproducible objective quantitative analysis, a Software algorithm has been developed for detecting the contours of selected coronary lesions from video digitized matrices. For this and other applications in the field of quantitative analysis of cardiac Images, a Computer based operator Interactive Cardiac Image Analysis System (CIAS) has been implemented at the Thoraxcenter Image Processing Laboratory ( 2 ) . Presently this system

Journal

Biomedizinische Technik / Biomedical Engineering – de Gruyter

Published: Jan 1, 1979

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