Sung Ho Park , Joong Jae Lee , Geun Soo Lee , Gye Young Kim

KIPS Transactions on Software and Data Engineering, Vol. 12, No. 5, pp. 543-552, May. 2005
10.3745/KIPSTB.2005.12.5.543, Full Text:

Abstract

This paper proposes the extraction of coronary arteries based on DSA(Digital Subtraction Angiography) through a texture analysis of background in the angiography. DSA is a well established modality for the visualization of coronary arteries. DSA involves the subtraction of a mask image - an image of the heart before injection of contrast medium - from live image. However, this technique is sensitive to the movement of background and can result to a wrong detection by the variance of background gray-level intensity between two images. Therefore, this paper solves a structural problem resulted from a background movement by selecting an image which has the least difference of movement through an analysis of the similarity of background texture and proposes a method to extract only the blood vessel efficiently through local gray-level correction of the selected image. Using the coronary angiogram of 5 patients clinical data, we proved that the proposed method has the lower false-detection rate, approximately 2%, and the higher accuracy than the existing methods.

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