IEEE Transactions on Pattern Analysis and Machine Intelligence
Muliscale Vessel Enhancement Filtering
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
3D Curve Reconstruction by Biplane Snakes
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
A review of vessel extraction techniques and algorithms
ACM Computing Surveys (CSUR)
Pixel-based and region-based image fusion schemes using ICA bases
Information Fusion
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
IEEE Transactions on Image Processing
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
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In this paper, an effective method is developed to extract coronary vessels from X-ray digital subtraction angiography (DSA). Unlike the traditional image subtraction technique, we used the independent component analysis (ICA) to separate the coronary vessels and backgrounds. Experimental results indicate that the proposed method can achieve better performance than the traditional subtraction technique and the segmentation method.