Building and Testing a Statistical Shape Model of the Human Ear Canal
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Amygdala Surface Modeling with Weighted Spherical Harmonics
MIAR '08 Proceedings of the 4th international workshop on Medical Imaging and Augmented Reality
Harmonic Surface Mapping with Laplace-Beltrami Eigenmaps
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Models of Normal Variation and Local Contrasts in Hippocampal Anatomy
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Technical Section: Fourier method for large-scale surface modeling and registration
Computers and Graphics
Inverse-Consistent Surface Mapping with Laplace-Beltrami Eigen-Features
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Topological Correction of Brain Surface Meshes Using Spherical Harmonics
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Particle Based Shape Regression of Open Surfaces with Applications to Developmental Neuroimaging
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
3D eigenfunction expansion of sparsely sampled 2D cortical data
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Global medical shape analysis using the Laplace-Beltrami spectrum
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Fully automatic shape modelling using growing cell neural networks
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
A new shape diffusion descriptor for brain classification
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Ventricle shape analysis for centenarians, elderly subjects, MCI and AD patients
MBIA'11 Proceedings of the First international conference on Multimodal brain image analysis
Hypothesis testing with nonlinear shape models
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Multi-figure anatomical objects for shape statistics
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Multi-scale voxel-based morphometry via weighted spherical harmonic representation
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
Spaces and manifolds of shapes in computer vision: An overview
Image and Vision Computing
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
Computer Methods and Programs in Biomedicine
Teichmüller Shape Descriptor and Its Application to Alzheimer's Disease Study
International Journal of Computer Vision
Hi-index | 0.01 |
Enlarged ventricular size and/or asymmetry have been found markers for psychiatric illness, including schizophrenia. However, this morphometric feature is non-specific and occurs in many other brain diseases, and its variability in healthy controls is not sufficiently understood. We studied ventricular size and shape in 3D MRI (N=20) of monozygotic (N=5) and dizygotic (N=5) twin pairs. Left and right lateral, third and fourth ventricles were segmented fromhigh-resolution T1w SPGR MRI using supervised classification and 3D connectivity. Surfaces of binary segmentations of left and right lateral ventricles were parametrized and described by a series expansion using spherical harmonics. Objects were aligned using the intrinsic coordinate system of the ellipsoid described by the first order expansion. The metric for pairwise shape similarity was the mean squared distance (MSD) between object surfaces. Without normalization for size, MZ twin pairs only showed a trend to have more similar lateral ventricles than DZ twins. After scaling by individual volumes, however, the pairwise shapedifference between right lateral ventricles of MZ twins became very small with small group variance, differing sig-nificantly from DZ twin pairs. This finding suggests that there is new information in shape not represented by size, a property that might improve understanding of neurodevelopmental and neurodegenerative changes of brain objects and of heritability of size and shape of brain structures. The findings further suggest that alignment and normalization of objects are key issues in statistical shape analysis whichneed further exploration.