Book chapter
A Novel Robust Tube Detection Filter for 3D Centerline Extraction
Image Analysis, pp.481-490
Lecture Notes in Computer Science, Springer Berlin Heidelberg
2005
DOI: 10.1007/11499145_49
Abstract
Centerline extraction of tubular structures such as blood vessels and airways in 3D volume data is of vital interest for applications involving registration, segmentation and surgical planing. In this paper, we propose a robust method for 3D centerline extraction of tubular structures. The method is based on a novel multiscale medialness function and additionally provides an accurate estimate of tubular radius. In contrast to other approaches, the method does not need any user selected thresholds and provides a high degree of robustness. For comparison and performance evaluation, we are using both synthetic images from a public database and a liver CT data set. Results show the advantages of the proposed method compared with the methods of Frangi et al. and Krissian et al.
Details
- Title: Subtitle
- A Novel Robust Tube Detection Filter for 3D Centerline Extraction
- Creators
- Thomas Pock - Graz University of TechnologyReinhard Beichel - Graz University of TechnologyHorst Bischof - Graz University of Technology
- Resource Type
- Book chapter
- Publication Details
- Image Analysis, pp.481-490
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/11499145_49
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 2005
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197310602771
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