TY - GEN
T1 - Conditional variability of statistical shape models based on surrogate variables
AU - Blanc, Rémi
AU - Reyes, Mauricio
AU - Seiler, Christof
AU - Székely, Gábor
PY - 2009
Y1 - 2009
N2 - We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribution to follow prescribed anatomical constraints. The method is applied to a shape model of the human femur, modeling the joint density of shape and anatomical parameters as a kernel density. Results show that it allows for a fast, intuitive and anatomically meaningful control on the shape deformations and an effective conditioning of the shape distribution, allowing the analysis of the remaining shape variability and relations between shape and anat omy. The approach can be further employed for initializing elastic registration methods such as Active Shape Models, improving their regularization term and reducing the search space for the optimization.
AB - We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribution to follow prescribed anatomical constraints. The method is applied to a shape model of the human femur, modeling the joint density of shape and anatomical parameters as a kernel density. Results show that it allows for a fast, intuitive and anatomically meaningful control on the shape deformations and an effective conditioning of the shape distribution, allowing the analysis of the remaining shape variability and relations between shape and anat omy. The approach can be further employed for initializing elastic registration methods such as Active Shape Models, improving their regularization term and reducing the search space for the optimization.
KW - Algorithms
KW - Effect Modifier, Epidemiologic
KW - Femur/diagnostic imaging
KW - Humans
KW - Imaging, Three-Dimensional/methods
KW - Models, Anatomic
KW - Models, Biological
KW - Models, Statistical
KW - Pattern Recognition, Automated/methods
KW - Radiographic Image Enhancement/methods
KW - Radiographic Image Interpretation, Computer-Assisted/methods
KW - Reproducibility of Results
KW - Sensitivity and Specificity
KW - Tomography, X-Ray Computed/methods
U2 - 10.1007/978-3-642-04271-3_11
DO - 10.1007/978-3-642-04271-3_11
M3 - Conference article in proceeding
C2 - 20426099
VL - 12
T3 - Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
SP - 84
EP - 91
BT - International Conference on Medical Image Computing and Computer-Assisted Intervention
ER -