Crossing-preserving multi-scale vesselness
Hannink J, Duits R, Bekkers EJ (2014)
Publication Type: Conference contribution
Publication year: 2014
Publisher: Springer Verlag
Edited Volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Book Volume: 8674 LNCS
Pages Range: 603-610
Conference Proceedings Title: Lecture Notes in Computer Science
Event location: Cambridge, MA
ISBN: 9783319104690
URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Hannink14-CMV.pdf
DOI: 10.1007/978-3-319-10470-6_75
Abstract
The multi-scale Frangi vesselness filter is an established tool in (retinal) vascular imaging. However, it cannot properly cope with crossings or bifurcations since it only looks for elongated structures. Therefore, we disentangle crossings/bifurcations via (multiple scale) invertible orientation scores and apply vesselness filters in this domain. This new method via scale-orientation scores performs considerably better at enhancing vessels throughout crossings and bifurcations than the Frangi version. Both methods are evaluated on a public dataset. Performance is measured by comparing ground truth data to the segmentation results obtained by basic thresholding and morphological component analysis of the filtered images. © 2014 Springer International Publishing.
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APA:
Hannink, J., Duits, R., & Bekkers, E.J. (2014). Crossing-preserving multi-scale vesselness. In Lecture Notes in Computer Science (pp. 603-610). Cambridge, MA: Springer Verlag.
MLA:
Hannink, Julius, Remco Duits, and Erik J. Bekkers. "Crossing-preserving multi-scale vesselness." Proceedings of the Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, Cambridge, MA Springer Verlag, 2014. 603-610.
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