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- Title
Automatic centerline detection of small three-dimensional vessel structures.
- Authors
Yuanzhi Cheng; Xin Hu; Yadong Wang; Jinke Wang; Shinichi Tamura
- Abstract
Vessel centerline detection is very important in many medical applications. In the noise and low-contrast regions, most existing methods may only produce an incomplete and disconnected extraction of the vessel centerline if no user guidance is provided. A robust and automatic method is described for extraction of the vessel centerline. First, we perform small vessel enhancement by processing with a set of line detection filters, corresponding to the 13 orientations; for each voxel, the highest filter response is kept and added to the image. Second, we extract vessel centerline segment candidates by a thinning algorithm. Finally, a global optimization algorithm is employed for grouping and selecting vessel centerline segments. We validate the proposed method quantitatively on a number of synthetic data sets, the liver artery and lung vessel. Comparisons are made with two state-of-the-art vessel centerline extraction methods and manual extraction. The experiments show that our method is more accurate and robust that these state-of-the-art methods and is, therefore, more suited for automatic vessel centerline extraction.
- Subjects
THINNING algorithms; IMAGE thinning; FILTERS &; filtration; IMAGE processing; EXTRACTION apparatus
- Publication
Journal of Electronic Imaging, 2014, Vol 23, Issue 1, p1
- ISSN
1017-9909
- Publication type
Article
- DOI
10.1117/1.JEI.23.1.013007