Active shape models—their training and application
Computer Vision and Image Understanding
Globally constrained deformable models for 3D object reconstruction
Signal Processing - Special issue on deformable models and techniques for image and signal processing
Generation of point-based 3D statistical shape models for anatomical objects
Computer Vision and Image Understanding - Special issue on analysis of volumetric image
Computer-Integrated Surgery: Technology and Clinical Applications
Computer-Integrated Surgery: Technology and Clinical Applications
Vessel Segmentation for Visualization of MRA with Blood Pool Contrast Agent
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Spine Segmentation Using Articulated Shape Models
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Local Cardiac Wall Motion Estimation from Retrospectively Gated CT Images
FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
Local regression based statistical model fitting
Proceedings of the 32nd DAGM conference on Pattern recognition
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
A hybrid method for automatic anatomical variant detection and segmentation
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
Evaluation of traumatic brain injury patients using a shape-constrained deformable model
MBIA'11 Proceedings of the First international conference on Multimodal brain image analysis
A locally deformable statistical shape model
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
Heterogeneous computing for vertebra detection and segmentation in x-ray images
Journal of Biomedical Imaging - Special issue on Parallel Computation in Medical Imaging Applications
Multi-surface cardiac modelling, segmentation, and tracking
FIMH'05 Proceedings of the Third international conference on Functional Imaging and Modeling of the Heart
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
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To improve the robustness of segmentation methods, more and more methods use prior knowledge. We present an approach which embeds an active shape model into an elastically deformable surface model, and combines the advantages of both approaches. The shape model constrains the flexibility of the surface mesh representing the deformable model and maintains an optimal distribution of mesh vertices. A specific external energy which attracts the deformable model to locally detected surfaces, reduces the danger that the mesh is trapped by false object boundaries. Examples are shown, and furthermore a validation study for the segmentation of vertebrae in CT images is presented. With the exception of a few problematic areas, the algorithm leads reliably to a very good overall segmentation.