Paper
14 November 2007 Enhancement of coronary angiogram by estimation of local background
Peihe Tang, Hao Liu, Kaiqiong Sun
Author Affiliations +
Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 678918 (2007) https://doi.org/10.1117/12.750703
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Coronary angiogram is an important examination tool in clinical medicine for the precise diagnosis of cardiac disease. It is obtained by injecting of the patient with a contrast medium through a catheter. This paper presents a method to increase vessel contrast and to attenuate background. The enhancement is achieved by subtracting the estimated background from a live (contrast-containing) angiogram. The multi-scale morphology opening, with structuring elements of different dimension for each pixel, is employed to get the estimation of background. The dimension of structuring element for each pixel is calculated by the response difference between opening filtering results of original image with different structuring elements. The proposed algorithm is tested on real x-ray angiogram.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peihe Tang, Hao Liu, and Kaiqiong Sun "Enhancement of coronary angiogram by estimation of local background", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 678918 (14 November 2007); https://doi.org/10.1117/12.750703
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Cited by 4 scholarly publications.
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KEYWORDS
Angiography

Image enhancement

Image filtering

Image processing

Image segmentation

Information operations

X-rays

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