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21 September 1994 Identification of coronary arteries from time series of angiogram and its 3D understanding
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For the evaluation of cardiac morphology and cardiac dynamics from a time series of angiograms, reliable and precise extraction of coronary arteries in each image is the key technology. An algorithm to detect vessel contour with high reliability is developed using the characteristics of coronary artery motion. The movement of coronary arteries is relatively larger than that of background tissues, so we can get high contrast vessel contour by substraction between two time different spatially differentiated images. This spatiotemporal operation gives us better coronary artery detection in the presence of noise than other spatial operations by using accumulation of spatiotemporal subtraction images for the interval where the background movement is negligible. Detected coronary artery branches are described with blood vessel segment sequence for the right and left angiogram. These two vessel structures are compared and the correspondences found. Thus 3D coronary artery structure is determined and displayed on the CRT. The effectiveness is discussed on actual dynamical coronary angiogram compared with spatial operation on the time frozen single image. Our algorithm works satisfactorily in this example.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Akira Uchida, Takao Akatsuka, Tohoru Takeda, and Yasutaka Tamura "Identification of coronary arteries from time series of angiogram and its 3D understanding", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994);

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