• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

Extracting Blood Vessels through Similarity Analysis and Intensity Correction


Jang Seok-Woo, Journal of Internet Computing and Services, Vol. 7, No. 4, pp. 33-44, Aug. 2006
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Keywords: Similarity Analysis, Intensity Correction, Blood Vessels, Angiography

Abstract

This paper proposes a method to extract coronary arteries effectively in the angiography, In general. DSA(Digital Subtraction Angiography) is a well-established technique for the visualization of coronary arteries, DSA involves the subtraction of a mask image, an image of a heart before the injection of contrast medium, from a live image, However, this technique is sensitive to the movement of background and can cause wrong detection due to the variance of background intensity between two images. Therefore, this paper solves the structural problem resulted from background movement by selecting an image which has the least difference of movement through the similarity analysis of background texture, and it extracts only the blood vessels effectively through local intensity correction of the selected images, Experimental results show that the proposed method has the lower false-detection rate and higher accuracy rate than existing methods.


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Cite this article
[APA Style]
Jang Seok-Woo (2006). Extracting Blood Vessels through Similarity Analysis and Intensity Correction. Journal of Internet Computing and Services, 7(4), 33-44.

[IEEE Style]
J. Seok-Woo, "Extracting Blood Vessels through Similarity Analysis and Intensity Correction," Journal of Internet Computing and Services, vol. 7, no. 4, pp. 33-44, 2006.

[ACM Style]
Jang Seok-Woo. 2006. Extracting Blood Vessels through Similarity Analysis and Intensity Correction. Journal of Internet Computing and Services, 7, 4, (2006), 33-44.