Model-based detection of tubular structures in 3D images
Computer Vision and Image Understanding
Muliscale Vessel Enhancement Filtering
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Edge Detection and Ridge Detection with Automatic Scale Selection
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
A novel 3D multi-scale lineness filter for vessel detection
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
A novel robust tube detection filter for 3d centerline extraction
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Extracting Curve Skeletons from Gray Value Images for Virtual Endoscopy
MIAR '08 Proceedings of the 4th international workshop on Medical Imaging and Augmented Reality
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We present a novel approach for detection of tubular objects in medical images. Conventional tube detection / lineness filters make use of local derivatives at multiple scales using a linear scale space; however, using a linear scale space may result in an undesired diffusion of nearby structures into one another and this leads to problems such as detection of two tangenting tubes as one single tube. To avoid this problem, we propose to replace the multi-scale computation of the gradient vectors by the Gradient Vector Flow, because it allows an edge-preserving diffusion of gradient information. Applying Frangi's vesselness measure to the resulting vector field allows detection of centerlines from tubular objects, independent of the tubes size and contrast. Results and comparisons to related methods on synthetic and clinical datasets show a high robustness to image noise and to disturbances outside the tubular objects.