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Proceedings Paper

Multiframe quantitative coronary arteriography
Author(s): Craig A. Morioka; James Stuart Whiting; Miguel P. Eckstein; Kokila C. Shah
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Paper 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).

Paper Details

Date Published: 16 April 1996
PDF: 9 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237913
Show Author Affiliations
Craig A. Morioka, Cedars-Sinai Medical Ctr. (United States)
James Stuart Whiting, Cedars-Sinai Medical Ctr. (United States)
Miguel P. Eckstein, Cedars-Sinai Medical Ctr. (United States)
Kokila C. Shah, Cedars-Sinai Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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