Biological Cybernetics
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image selective smoothing and edge detection by nonlinear diffusion
SIAM Journal on Numerical Analysis
Unsupervised tissue type segmentation of 3D dual-echo MR head data
Image and Vision Computing - Special issue: information processing in medical imaging 1991
Journal of Mathematical Imaging and Vision
What is the best causal scale space for three-dimensional images?
SIAM Journal on Applied Mathematics
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic Multiscale Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear multiscale representations for image segmentation
Computer Vision and Image Understanding
Heuristic linking models in multiscale image segmentation
Computer Vision and Image Understanding
The Integration of Image Segmentation Maps using Region and Edge Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of Retrospective Intensity Non-uniformity Correction Methods for MRI
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Computer-Aided Interactive Object Delineation Using an Intelligent Paintbrush Technique
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Comparison of Multiscale Representations for a Linking-Based Image Segmentation Model
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
Advanced algorithmic approaches to medical image segmentation
An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images
Pattern Recognition Letters
Minimum Reliable Scale Selection in 3D
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pixel Coverage Segmentation for Improved Feature Estimation
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Segmentation of rodent brains from MRI based on a novel statistical structure prediction method
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Detecting pathologies with homology algorithms in magnetic resonance images of brain
Machine Graphics & Vision International Journal
Automatic segmentation of MR brain images
Proceedings of the 2011 International Conference on Communication, Computing & Security
A new framework of multiphase segmentation and its application to partial volume segmentation
Applied Computational Intelligence and Soft Computing
Segmentation of 3-d MRI brain images using information propagation
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
A novel approach for adaptive unsupervised segmentation of MRI brain images
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
An integrated algorithm for MRI brain images segmentation
CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
Three dimensional tissue classifications in MR brain images
CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
A novel fuzzy Dempster-Shafer inference system for brain MRI segmentation
Information Sciences: an International Journal
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Segmentation of MR brain images using intensity values is severelylimited owing to field inhomogeneities, susceptibility artifacts andpartial volume effects. Edge based segmentation methods suffer fromspurious edges and gaps in boundaries. A multiscale method to MRI brainsegmentation is presented which uses both edge and intensity information. First a multiscale representation of an image is created, which can bemade edge dependent to favor intra-tissue diffusion over inter-tissuediffusion. Subsequently a multiscale linking model (the hyperstack) isused to group voxels into a number of objects based on intensity. It is shown that both an improvement in accuracy and a reduction inimage post-processing can be achieved if edge dependent diffusion isused instead of linear diffusion. The combination of edge dependentdiffusion and intensity based linking facilitates segmentation of greymatter, white matter and cerebrospinal fluid with minimal user interaction.To segment the total brain (white matter plus grey matter) morphologicaloperations are applied to remove small bridges between the brain and cranium.If the total brain is segmented, grey matter, white matter andcerebrospinal fluid can be segmented by joining a small number of segments.Using a supervised segmentation technique and MRI simulations of a brainphantom for validation it is shown that the errors are in the order ofor smaller than reported in literature.