Multiframe quantitative coronary arteriography

Craig A. Morioka; James Stuart Whiting; Miguel P. Eckstein; Kokila C. Shah

doi:10.1117/12.237913

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16 April 1996 Multiframe quantitative coronary arteriography

Craig A. Morioka; James Stuart Whiting; Miguel P. Eckstein; Kokila C. Shah

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Proceedings Volume 2710, Medical Imaging 1996: Image Processing; (1996) https://doi.org/10.1117/12.237913
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

Abstract

Single-frame quantitative coronary angiography (QCA) requires a human operator to select one frame for analysis out of typically 90 or more acquired in each sequence. QCA measurements for the same arterial segment differ from frame to frame due to a variety of factors including: rapid coronary motion, overlapping arteries, patient scatter, and structure noise from imaging the ribs, spine and diaphragm. These factors make frame selection a source of diagnostic variability. Test images were generated by radiographically projecting 3- D model arteries of known diameters onto patient coronary angiograms. Our objective is to eliminate subjective selection of a single frame and improve the overall accuracy of QCA by utilizing all of the image frames in a sequence. Diameters of the artery within each image were measured with an automated edge detection algorithm. Our approach to improve the accuracy of the diameter measure is to search for the coronary artery edge in both the spatial (individual image frame) and temporal domain (all frames in the sequence that show the edge).

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Craig A. Morioka, James Stuart Whiting, Miguel P. Eckstein, and Kokila C. Shah "Multiframe quantitative coronary arteriography", Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); https://doi.org/10.1117/12.237913

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