Active shape models—their training and application
Computer Vision and Image Understanding
Average brain models: a convergence study
Computer Vision and Image Understanding - Special issue on analysis of volumetric image
A Unified Framework for Atlas Matching Using Active Appearance Models
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Automatic 3D ASM Construction via Atlas-Based Landmarking and Volumetric Elastic Registration
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Elastic Model Based Non-rigid Registration Incorporation Statistical Shape Information
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Fast Fluid Registration of Medical Images
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
Deformable templates using large deformation kinematics
IEEE Transactions on Image Processing
3D Statistical Shape Models Using Direct Optimisation of Description Length
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Registration Assisted Image Smoothing and Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Medical Image Synthesis via Monte Carlo Simulation
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Model Library for Deformable Model-Based Segmentation of 3-D Brain MR-Images
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Iconic feature based nonrigid registration: the PASHA algorithm
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Unsupervised Learning of an Atlas from Unlabeled Point-Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Construction of Active Appearance Models as an Image Coding Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Diffeomorphic statistical shape models
Image and Vision Computing
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Measuring and modeling soft tissue deformation for image guided interventions
IS4TM'03 Proceedings of the 2003 international conference on Surgery simulation and soft tissue modeling
An SL(2) Invariant Shape Median
Journal of Mathematical Imaging and Vision
Statistical atlases of bone anatomy: construction, iterative improvement and validation
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Construction of a linear unbiased diffeomorphic probabilistic liver atlas from CT images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Local regression based statistical model fitting
Proceedings of the 32nd DAGM conference on Pattern recognition
MIAR'10 Proceedings of the 5th international conference on Medical imaging and augmented reality
An Elasticity-Based Covariance Analysis of Shapes
International Journal of Computer Vision
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Non-rigid image registration of brain magnetic resonance images using graph-cuts
Pattern Recognition
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Pre-organizing Shape Instances for Landmark-Based Shape Correspondence
International Journal of Computer Vision
Semi-supervised segmentation using multiple segmentation hypotheses from a single atlas
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
Robust diffeomorphic mapping via geodesically controlled active shapes
Journal of Biomedical Imaging
| Hi-index | 0.00 |
In this paper we introduce the concept of statistical deformation models (SDM) which allow the construction of average models of the anatomy and their variability. SDMs are built by performing a statistical analysis of the deformations required to map anatomical features in one subject into the corresponding features in another subject. The concept of SDMs is similar to active shape models (ASM) which capture statistical information about shapes across a population but offers several new advantages over ASMs: Firstly, SDMs can be constructed directly from images such as MR or CT without the need for segmentation which is usually a prerequisite for the construction of active shape models. Instead a non-rigid registration algorithm is used to compute the deformations required to establish correspondences between the reference subject and the subjects in the population class under investigation. Secondly, SDMs allow the construction of an atlas of the average anatomy as well as its variability across a population of subjects. Finally, SDMs take the 3D nature of the underlying anatomy into account by analysing dense 3D deformation fields rather than only the 2D surface shape of anatomical structures. We demonstrate the applicability of this new framework to MR images of the brain and show results for the construction of anatomical models from 25 different subjects.