DocumentCode
3070384
Title
Multi-scale model-based vessel enhancement using local line integrals
Author
Yuan, Yuan ; Chung, Albert C S
Author_Institution
Lo Kwee-Seong Medical Image Analysis Laboratory, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, China
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
2225
Lastpage
2228
Abstract
This paper presents a novel vessel enhancement method. By regarding a vessel segment as a local line and exploiting the second order information along the line, our method embeds a vessel model to capture vessel structures. The vessel model is the key to better performances of our method than the Hessian-based methods and makes the Hessian-based methods fall in an extreme case of our method. It is experimentally shown that our method gives more accurate “vesselness” measures and vessel direction estimations. In particular, our method achieves better background suppression, smoother “vesselness” measures inside vessels and better responses at crossings (where two relatively straight vessels meet).
Keywords
Computational efficiency; Computational geometry; Computer aided diagnosis; Data visualization; Eigenvalues and eigenfunctions; Filtering; Image segmentation; Information geometry; Matched filters; Particle measurements; Algorithms; Humans; Image Enhancement; Imaging, Three-Dimensional; Models, Biological; Retina; Retinal Vessels;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649638
Filename
4649638
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