학술논문

Phase based level set segmentation of blood vessels
Document Type
Conference
Source
2008 19th International Conference on Pattern Recognition Pattern Recognition, 2008. ICPR 2008. 19th International Conference on. :1-4 Dec, 2008
Subject
Signal Processing and Analysis
Computing and Processing
Level set
Blood vessels
Filters
Image segmentation
Image edge detection
Biomedical imaging
Detectors
Phase detection
Robustness
Biomedical engineering
Language
ISSN
1051-4651
Abstract
The segmentation and analysis of blood vessels has received much attention in the research community. The results aid numerous applications for diagnosis and treatment of vascular diseases. Here we use level set propagation with local phase information to capture the boundaries of vessels. The basic notion is that local phase, extracted using quadrature filters, allows us to distinguish between lines and edges in an image. Noting that vessels appear either as lines or edge pairs, we integrate multiple scales and capture information about vessels of varying width. The outcome is a “global” phase which can be used to drive a contour robustly towards the vessel edges. We show promising results in 2D and 3D. Comparison with a related method gives similar or even better results and at a computational cost several orders of magnitude less. Even with very sparse initializations, our method captures a large portion of the vessel tree.