CONFERENCE PROCEEDINGS
Advanced Search
Home > Journals > J. Electron. Imag. > Volume 23 > Issue 1 > Article
Open Access
21 January 2014 Automatic centerline detection of small three-dimensional vessel structures
Yuanzhi Cheng, Xin Hu, Yadong Wang, Jinke Wang, Shinichi Tamura
Author Affiliations +
Journal of Electronic Imaging, Vol. 23, Issue 1, 013007 (January 2014). https://doi.org/10.1117/1.JEI.23.1.013007
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.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Citation Download Citation
Yuanzhi Cheng, Xin Hu, Yadong Wang, Jinke Wang, and Shinichi Tamura "Automatic centerline detection of small three-dimensional vessel structures," Journal of Electronic Imaging 23(1), 013007 (21 January 2014). https://doi.org/10.1117/1.JEI.23.1.013007
Published: 21 January 2014
JOURNAL ARTICLE
 13 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
KEYWORDS
Image segmentation
Arteries
Liver
3D image processing
Computed tomography
Detection and tracking algorithms
Image filtering
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top