A Region Growing Vessel Segmentation Algorithm Based on Spectrum Information
Joint Authors
Fang, Di
He, Baochun
Ma, Zhiyuan
Yang, Benqiang
Zhang, Libo
Jiang, Huiyan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
We propose a region growing vessel segmentation algorithm based on spectrum information.
First, the algorithm does Fourier transform on the region of interest containing vascular structures to obtain its spectrum information, according to which its primary feature direction will be extracted.
Then combined edge information with primary feature direction computes the vascular structure’s center points as the seed points of region growing segmentation.
At last, the improved region growing method with branch-based growth strategy is used to segment the vessels.
To prove the effectiveness of our algorithm, we use the retinal and abdomen liver vascular CT images to do experiments.
The results show that the proposed vessel segmentation algorithm can not only extract the high quality target vessel region, but also can effectively reduce the manual intervention.
American Psychological Association (APA)
Jiang, Huiyan& He, Baochun& Fang, Di& Ma, Zhiyuan& Yang, Benqiang& Zhang, Libo. 2013. A Region Growing Vessel Segmentation Algorithm Based on Spectrum Information. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-495271
Modern Language Association (MLA)
Jiang, Huiyan…[et al.]. A Region Growing Vessel Segmentation Algorithm Based on Spectrum Information. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-495271
American Medical Association (AMA)
Jiang, Huiyan& He, Baochun& Fang, Di& Ma, Zhiyuan& Yang, Benqiang& Zhang, Libo. A Region Growing Vessel Segmentation Algorithm Based on Spectrum Information. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-495271
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495271