Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
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
Muliscale Vessel Enhancement Filtering
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Non-Linear Model Fitting to Parameterize Diseased Blood Vessels
VIS '04 Proceedings of the conference on Visualization '04
Journal of Visual Communication and Image Representation
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Generalized cylinder shapes are ubiquitous in biological systems and image processing techniques to identifies these tubular objects in 3D from biomedical imagery in various modalities is a general problem of interest. One such structure that exhibits branching tubular forms are neuronal networks; specifically, recent developments in microscopy imaging technology allow researchers to acquire massive amounts of 3D color images of neural structures that need to be tracked in 3D to extract structure for the purpose of studying function. In this paper, we propose a piecewise linear generalized cylinder tracing algorithm that exploits both edge and color information in order to automatically trace axons of neurons in Brainbow imagery. Results indicate that the proposed method can successfully trace multiple axons in dense neighborhoods.