Automatic extraction of coronary vessels from digital subtraction angiography
Songyuan Tang, Junhai Wen, Yongtian Wang, Yanwei Chen · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
In the X-ray coronary digital subtraction angiography, there are serious motion artifacts and noises, and backgrounds such as ribs, spine, cathers and etc, which are tube structures and like vessels. It's difficult to separate vessels from the background automatically if they are close each other. In this paper, an automatic extraction of coronary vessels from X-ray digital subtraction angiography is proposed. We used edge preserving smooth filter to reduce the noises in the images and keep the vessel edge firstly. Then affine and B-spline based FFD nonrigid registration is applied to the images. Compared with the segmentation method, the proposed method can remove background greatly and extract the coronary vessel very well.