Parametrization and smooth approximation of surface triangulations
Computer Aided Geometric Design
Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Shape transformation using variational implicit functions
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
A Minimum Description Length Approach to Statistical Shape Modelling
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Interactive editing of segmented volumetric datasets in a hybrid 2D/3D virtual environment
Proceedings of the ACM symposium on Virtual reality software and technology
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
Liver Segmentation Using Automatically Defined Patient Specific B-Spline Surface Models
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Efficient and accurate femur reconstruction using model-based segmentation and superquadric shapes
Telehealth/AT '08 Proceedings of the IASTED International Conference on Telehealth/Assistive Technologies
Construction of a linear unbiased diffeomorphic probabilistic liver atlas from CT images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Automatic construction of statistical shape models for vertebrae
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Capturing anatomical shape variability using b-spline registration
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine
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The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set of segmented instances of an object is the determination of the correspondence between them. We propose a novel geometric approach that is based on minimizing the distortion of the mapping between two surfaces. In this work we investigate the accuracy and completeness of a 3D statistical shape model for the liver built from 20 manually segmented individual CT data sets. The quality of the shape model is crucial for its application as a segmentation tool.