Extracting the Coronary Artery in Angiographic Image Based on à Trous Wavelet of Rotary Gaussian with Adaptive Space Coefficient

According to the matching differences cased by cardiac non-rigid motion between angiographic images before and after injected in subtract angiography which is most widely used in diagnosis, a new algorithm based on a¿ trous wavelet of rotary Gaussian with adaptive space coefficient and segmentation based on transition region is put forward to in this paper. The angiographic image is pretreated by an adaptive and multi-hierarchy method to obtain images of different levels, and all sub-images are obtained by extracting the coronary artery from image of every level, all sub-images are fused to obtain the final image in accordance by certain rules. Simulation results based on 200 actual coronary artery angiographic images indicate that comparing with traditional algorithms, SNR is improved 4.7%~8.8%, and positioning accuracy of centerline is improved 3.9%~37.5%.