A PDE-based fast local level set method
Journal of Computational Physics
Signal Processing for Computer Vision
Signal Processing for Computer Vision
Flux Maximizing Geometric Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Geometric Level Set Methods in Imaging,Vision,and Graphics
Geometric Level Set Methods in Imaging,Vision,and Graphics
A review of vessel extraction techniques and algorithms
ACM Computing Surveys (CSUR)
A New Approach to Automated Retinal Vessel Segmentation Using Multiscale Analysis
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
A review on MR vascular image processing: skeleton versus nonskeleton approaches: part II
IEEE Transactions on Information Technology in Biomedicine
Bayesian image segmentation using local iso-intensity structural orientation
IEEE Transactions on Image Processing
Application of fuzzy connectedness in 3D blood vessel extraction
International Journal of Bioinformatics Research and Applications
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The segmentation of blood vessels is a common problem in medical imaging and various applications are found in diagnostics, surgical planning, training and more. Among many different techniques, the use of multiple scales and line detectors is a popular approach. However, the typical line filters used are sensitive to intensity variations and do not target the detection of vessel walls explicitly. In this article, we combine both line and edge detection using quadrature filters across multiple scales. The filter result gives well defined vessels as linear structures, while distinct edges facilitate a robust segmentation. We apply the filter output to energy optimization techniques for segmentation and show promising results in 2D and 3D to illustrate the behavior of our method. The conference version of this article received the best paper award in the bioinformatics and biomedical applications track at ICPR 2008.