Efficient segmentation based on Eikonal and diffusion equations
International Journal of Computer Mathematics - Computer Vision and Pattern Recognition
A supervised Bayesian method for cerebrovascular segmentation
WSEAS Transactions on Signal Processing
A Novel 3D Joint Markov-Gibbs Model for Extracting Blood Vessels from PC---MRA Images
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
3D joint Markov-Gibbs model for segmenting the blood vessels from MRA
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Geodesic Methods in Computer Vision and Graphics
Foundations and Trends® in Computer Graphics and Vision
A boundary-only meshless method for numerical solution of the Eikonal equation
Computational Mechanics
Tubular Structure Segmentation Based on Minimal Path Method and Anisotropic Enhancement
International Journal of Computer Vision
Optimal path: theory and models for vessel segmentation
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Automatic cerebrovascular segmentation by accurate probabilistic modeling of TOF-MRA images
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
A new adaptive probabilistic model of blood vessels for segmenting MRA images
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Cerebrovascular segmentation by accurate probabilistic modeling of TOF-MRA images
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Efficient and robust segmentations based on eikonal and diffusion PDEs
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
An application of circumscribed circle filter in the Multi-Stencils Fast Marching method
Proceedings of the 27th Annual ACM Symposium on Applied Computing
The Chebyshev spectral viscosity method for the time dependent Eikonal equation
Mathematical and Computer Modelling: An International Journal
Globally minimal path method using dynamic speed functions based on progressive wave propagation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
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We present a new fast approach for surface segmentation of thin structures, like vessels and vascular trees, based on Fast Marching and Level Sets methods. Fast Marching allows segmentation of tubular structures inflating a "long balloon" from a user given single point. However, when the tubular shape is rather long, the front propagation may blow up through the boundary of the desired shape close to the starting point. Our contribution is focused on a way to go on front propagation only on the actually moving front and freezing other points. We demonstrate the ability to build a fast and accurate segmentation for those tubular and tree structures. We also develop a useful stopping criterion for the causal front propagation. We illustrate our algorithms by applications on the segmentation of vessels in 3D medical images.