摘要

Aiming at the angiographic image processing differences caused by cardiac non-rigid motion, a feature extraction algorithm of moving coronary artery angiograms based on fast independent component analysis is put forward. In the traditional schemes, every frame of the dynamic sequence is processed separately as a static image without considering the relation of them, which is improved in the novel algorithm. Comprehensively analysing every frame of the dynamic sequence, the background region and artery region are separated by the demixing technique. And an adaptive initial weight algorithm according to the gray distribution of the coronary artery angiogram is proposed. The iteration times is reduced 45% below the premise of the same result. At last, a pseudo-color coding method based on salient object detection is designed.

  • 出版日期2010

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