A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Parametrization of closed surfaces for 3-D shape description
Computer Vision and Image Understanding
Simultaneous registration of multiple range views for use in reverse engineering of CAD models
Computer Vision and Image Understanding - Special issue on CAD-based computer vision
A Solution for the Registration of Multiple 3D Point Sets Using Unit Quaternions
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
3D Statistical Shape Models Using Direct Optimisation of Description Length
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Shape versus Size: Improved Understanding of the Morphology of Brain Structures
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
A Statistical Shape Model for the Liver
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Shape Analysis of Brain Ventricles Using SPHARM
MMBIA '01 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA'01)
Characterizing human shape variation using 3D anthropometric data
The Visual Computer: International Journal of Computer Graphics
Atlas-based 3D-Shape Reconstruction from X-Ray Images
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Analysis of segmented human body scans
GI '07 Proceedings of Graphics Interface 2007
Optimisation-on-a-manifold for global registration of multiple 3D point sets
International Journal of Intelligent Systems Technologies and Applications
Numerical Recipes 3rd Edition: The Art of Scientific Computing
Numerical Recipes 3rd Edition: The Art of Scientific Computing
A statistical description of the articulating ulna surface for prosthesis design
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Multiview registration for large data sets
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
3D statistical shape models for medical image segmentation
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
3D point correspondence by minimum description length in feature space
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Statistical finite element model for bone shape and biomechanical properties
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Landmark-free posture invariant human shape correspondence
The Visual Computer: International Journal of Computer Graphics
3D statistical shape models to embed spatial relationship information
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Arthrodial Joint Markerless Cross-Parameterization and Biomechanical Visualization
IEEE Transactions on Visualization and Computer Graphics
Hi-index | 0.00 |
During car collisions, the shoulder belt exposes the occupant's clavicle to large loading conditions which often leads to a bone fracture. To better understand the geometric variability of clavicular cortical bone which may influence its injury tolerance, twenty human clavicles were evaluated using statistical shape analysis. The interior and exterior clavicular cortical bone surfaces were reconstructed from CT-scan images. Registration between one selected template and the remaining 19 clavicle models was conducted to remove translation and rotation differences. The correspondences of landmarks between the models were then established using coordinates and surface normals. Three registration methods were compared: the LM-ICP method; the global method; and the SHREC method. The LM-ICP registration method showed better performance than the global and SHREC registration methods, in terms of compactness, generalization, and specificity. The first four principal components obtained by using the LM-ICP registration method account for 61% and 67% of the overall anatomical variation for the exterior and interior cortical bone shapes, respectively. The length was found to be the most significant variation mode of the human clavicle. The mean and two boundary shape models were created using the four most significant principal components to investigate the size and shape variation of clavicular cortical bone. In the future, boundary shape models could be used to develop probabilistic finite element models which may help to better understand the variability in biomechanical responses and injuries to the clavicle.