Topological segmentation of discrete surfaces
International Journal of Computer Vision
Model-based detection of tubular structures in 3D images
Computer Vision and Image Understanding
Scale-Space with Casual Time Direction
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Multiscale Medial Loci and Their Properties
International Journal of Computer Vision - Special Issue on Research at the University of North Carolina Medical Image Display Analysis Group (MIDAG)
Liver Surgery Planning Using Virtual Reality
IEEE Computer Graphics and Applications
A Novel Approach for Detection of Tubular Objects and Its Application to Medical Image Analysis
Proceedings of the 30th DAGM symposium on Pattern Recognition
CGIM '07 Proceedings of the Ninth IASTED International Conference on Computer Graphics and Imaging
Frangi goes US: multiscale tubular structure detection adapted to 3d ultrasound
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
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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.