A hierarchical Markov modeling approach for the segmentation and tracking of deformable shapes
Graphical Models and Image Processing
General Object Reconstruction Based on Simplex Meshes
International Journal of Computer Vision
3D Statistical Shape Models Using Direct Optimisation of Description Length
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
The Use of Active Shape Models for Locating Structures in Medical Images
IPMI '93 Proceedings of the 13th International Conference on Information Processing in Medical Imaging
Segmentation of Bone in Clinical Knee MRI Using Texture-Based Geodesic Active Contours
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Implementing Fast Cloth Simulation with Collision Response
CGI '00 Proceedings of the International Conference on Computer Graphics
Automatic segmentation of bladder and prostate using coupled 3D deformable models
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
A graphical model framework for coupling MRFs and deformable models
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Anatomical modelling of the musculoskeletal system from MRI
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Interactive segmentation of volumetric medical images for collaborative telemedicine
3DPH'09 Proceedings of the 2009 international conference on Modelling the Physiological Human
Fracture detection in traumatic pelvic CT images
Journal of Biomedical Imaging - Special issue on Mathematical Methods for Images and Surfaces 2011
Regional appearance modeling based on the clustering of intensity profiles
Computer Vision and Image Understanding
Automatic 3d reconstruction of transfemoral residual limb from MRI images
DHM'13 Proceedings of the 4th international conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management: human body modeling and ergonomics - Volume Part II
A practical framework for generating volumetric meshes of subject-specific soft tissue
The Visual Computer: International Journal of Computer Graphics
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This paper addresses the problem of automatically segmenting bone structures in low resolution clinical MRI datasets. The novel aspect of the proposed method is the combination of physically-based deformable models with shape priors. Models evolve under the influence of forces that exploit image information and prior knowledge on shape variations. The prior defines a Principal Component Analysis (PCA) of global shape variations and a Markov Random Field (MRF) of local deformations, imposing spatial restrictions in shapes evolution. For a better efficiency, various levels of details are considered and the differential equations system is solved by a fast implicit integration scheme. The result is an automatic multilevel segmentation procedure effective with low resolution images. Experiments on femur and hip bones segmentation from clinical MRI depict a promising approach (mean accuracy: 1.44±1.1 mm, computation time: 2mn43s).