2. Hippocampal surfaces were reconstructed from the segmentations. 3. Conformal parameterizations of hippocampal surfaces were computed with holomorphic 1-form. 4. Point-to-point correspondences between hippocampal surfaces were computed by the inverse consistent fluid registration method, which was extended to work with general surfaces [1]. 5. Surface deformations were measured by new multivariate statistics [2] consisting of radial distance and multivariate tensor-based morphometry (mTBM). 6. Permutation tests were used to perform group comparisons
We present a novel method of statistical surface-based morphometry based on the use of non-parametri...
abstract: In brain imaging study, 3D surface-based algorithms may provide more advantages over volum...
Deformable registration of cortical surfaces facilitates longitudinal and intergroup comparisons of ...
2. Hippocampal surfaces were reconstructed from the segmentations. 3. Conformal parameterizations of...
International audienceAlzheimer's disease (AD) is a severe and growing public health crisis. Efforts...
Object segmentation, quantification, and shape modeling are important areas in medical image process...
Background: Manual hippocampus segmentation on structural magnetic resonance images (MRI) is labor i...
Using spherical harmonics of an inverse conformal map, we compared hippocampal surfaces of sixteen A...
Shape morphometry of subcortical surfaces plays an important role in analyzing normal developmental ...
We develop a general approach that uses holomorphic 1forms to parameterize anatomical surfaces with ...
The hippocampus is one of the most studied neuroanatomical structures due to its involvement in atte...
abstract: In this paper, we develop a new automated surface registration system based on surface con...
We compare four methods for generating shape-based features from 3D binary images of the hippocampus...
This is the pre-peer reviewed version of the following article: Parametric surface modeling and regi...
We present a novel method of statistical surface-based morphometry based on the use of nonparametric...
We present a novel method of statistical surface-based morphometry based on the use of non-parametri...
abstract: In brain imaging study, 3D surface-based algorithms may provide more advantages over volum...
Deformable registration of cortical surfaces facilitates longitudinal and intergroup comparisons of ...
2. Hippocampal surfaces were reconstructed from the segmentations. 3. Conformal parameterizations of...
International audienceAlzheimer's disease (AD) is a severe and growing public health crisis. Efforts...
Object segmentation, quantification, and shape modeling are important areas in medical image process...
Background: Manual hippocampus segmentation on structural magnetic resonance images (MRI) is labor i...
Using spherical harmonics of an inverse conformal map, we compared hippocampal surfaces of sixteen A...
Shape morphometry of subcortical surfaces plays an important role in analyzing normal developmental ...
We develop a general approach that uses holomorphic 1forms to parameterize anatomical surfaces with ...
The hippocampus is one of the most studied neuroanatomical structures due to its involvement in atte...
abstract: In this paper, we develop a new automated surface registration system based on surface con...
We compare four methods for generating shape-based features from 3D binary images of the hippocampus...
This is the pre-peer reviewed version of the following article: Parametric surface modeling and regi...
We present a novel method of statistical surface-based morphometry based on the use of nonparametric...
We present a novel method of statistical surface-based morphometry based on the use of non-parametri...
abstract: In brain imaging study, 3D surface-based algorithms may provide more advantages over volum...
Deformable registration of cortical surfaces facilitates longitudinal and intergroup comparisons of ...