Title :
Automated analysis of coronary arterial morphology in cineangiograms: geometric and physiologic validation in humans
Author :
Fleagle, Steven R. ; Johnson, Maryl R. ; Wilbricht, Christopher J. ; Skorton, David J. ; Wilson, Robert F. ; White, Carl W. ; Marcus, Melvin L. ; Collins, Steve M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa Univ., IA, USA
fDate :
12/1/1989 12:00:00 AM
Abstract :
A method of coronary border identification is discussed that is based on graph searching principles and is applicable to the broad spectrum of angiographic image quality observed clinically. Cine frames from clinical coronary angiograms were optically magnified, digitized, and graded for image quality. Minimal lumen diameters, referenced to catheter size, were derived from automatically identified coronary borders and compared to those defined using quantitative coronary arteriography and to observer-traced borders. computer-derived minimal lumen diameters were also compared to intracoronary measurements of coronary vasodilator reserve, a measure of the functional significance of a coronary obstruction. To test the robustness of the present border detection method, computer-derived coronary borders were compared to independent standards separately for good and poor angiographic images. The accuracy of computer-identified borders was similar in the two cases
Keywords :
cardiology; computerised picture processing; diagnostic radiography; medical diagnostic computing; angiographic image quality; automated analysis; catheter size; cineangiograms; computer-identified borders; coronary arterial morphology; coronary border identification method; geometric validation; graph searching principles; humans; medical diagnostic imaging; minimal lumen diameter; observer-traced borders; physiologic validation; Angiography; Biomedical imaging; Cardiac disease; Cities and towns; Geometry; Image quality; Lesions; Medical treatment; Morphology; Robustness;
Journal_Title :
Medical Imaging, IEEE Transactions on
