Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface Parametrization and Curvature Measurement of Arbitrary 3-D Objects: Five Practical Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parametrization of closed surfaces for 3-D shape description
Computer Vision and Image Understanding
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Shape-based segmentation and tracking in 4D cardiac MR images
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Decimation of iso-surfaces with deformable models
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Eye reconstruction and CT-retinography fusion for proton treatment planning of ocular deseases
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Point-Based Elastic Registration of Medical Image Data Using Approximating Thin-Plate Splines
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
Computer Methods and Programs in Biomedicine
Localized Priors for the Precise Segmentation of Individual Vertebras from CT Volume Data
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Segmentation of the human trachea using deformable statistical models of tubular shapes
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
A novel approach for adaptive unsupervised segmentation of MRI brain images
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
An integrated algorithm for MRI brain images segmentation
CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
Computer Methods and Programs in Biomedicine
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A novel method that allows the development of surface point-based three-dimensional statistical shape models is presented. The method can be applied to shapes of arbitrary topology. Given a set of medical objects, a statistical shape model can be obtained by Principal Component Analysis. This technique requires that a set of complex shaped objects is represented as a set of vectors that on the one hand uniquely determine the shapes of the objects and on the other hand are suitable for a statistical analysis. The correspondence between the vector components and the respective shape features has to be the same in order for all shape parameter vectors to be considered. We present a novel approach to the correspondence problem for complex three-dimensional objects. The underlying idea is to develop a template shape and to fit this template to all objects to be analyzed The method is successfully applied to obtain a statistical shape model for the lumbar vertebrae. The obtained shape model is well suited to support image segmentation tasks.