北京理工大学 增强现实智能医疗实验室

Abstract—Automatic vessel enhancement is significant for automatic analysis of the X-ray angiographic image sequence. However, the image is often interrupted by motion artefacts and other anatomical structures. In this paper, we propose an intra-frame and inter-frame constraint principal component analysis model (IFC-PCA) for vessel enhancement in the X-ray angiographic image sequence. The proposed method not only considers temporal information of image sequence by iteratively updating variable value on the basis of previous image information, but also takes the spatial information of each image into consideration. Experiments are conducted on a series of clinical X-ray angiographic image sequences. It demonstrates that our method is effective and robust for vessel enhancement from image sequence.