Comparing registration methods for mapping brain change using tensor-based morphometry
- 24 June 2009
- journal article
- research article
- Published by Elsevier BV in Medical Image Analysis
- Vol. 13 (5), 679-700
- https://doi.org/10.1016/j.media.2009.06.002
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- Detection of structural changes of the human brain in longitudinally acquired MR images by deformation field morphometry: Methodological analysis, validation and applicationNeuroImage, 2008
- Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal Alzheimer's disease imagesNeuroImage, 2008
- A Statistical Analysis of Brain Morphology Using Wild BootstrappingIEEE Transactions on Medical Imaging, 2007
- Mean Template for Tensor-Based Morphometry Using Deformation TensorsLecture Notes in Computer Science, 2007
- Geodesic estimation for large deformation anatomical shape averaging and interpolationNeuroImage, 2004
- Changes in hippocampal volume and shape across time distinguish dementia of the Alzheimer type from healthy aging☆NeuroImage, 2003
- A viscous fluid model for multimodal non-rigid image registration using mutual informationMedical Image Analysis, 2003
- Automated Hippocampal Segmentation by Regional Fluid Registration of Serial MRI: Validation and Application in Alzheimer's DiseaseNeuroImage, 2001
- Mesial Temporal Sclerosis and Temporal Lobe Epilepsy: MR Imaging Deformation-based Segmentation of the Hippocampus in Five PatientsRadiology, 2000
- Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brainIEEE Transactions on Medical Imaging, 1999