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
Link To Document :
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