The impact of skull-stripping and radio-frequency bias correction on grey-matter segmentation for voxel-based morphometry
- 15 February 2008
- journal article
- Published by Elsevier BV in NeuroImage
- Vol. 39 (4), 1654-1665
- https://doi.org/10.1016/j.neuroimage.2007.10.051
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Statistical parametric mapping of brain morphology: Sensitivity is dramatically increased by using brain-extracted images as inputsNeuroImage, 2006
- Unified segmentationNeuroImage, 2005
- Quantitative evaluation of automated skull‐stripping methods applied to contemporary and legacy images: Effects of diagnosis, bias correction, and slice locationHuman Brain Mapping, 2005
- Quantitative comparison of four brain extraction algorithmsNeuroImage, 2004
- Limbic hypometabolism in Alzheimer's disease and mild cognitive impairmentAnnals of Neurology, 2003
- “Voxel-Based Morphometry” Should Not Be Used with Imperfectly Registered ImagesNeuroImage, 2001
- Qualitative and Quantitative Evaluation of Six Algorithms for Correcting Intensity Nonuniformity EffectsNeuroImage, 2001
- Voxel-Based Morphometry—The MethodsNeuroImage, 2000
- Prediction of AD with MRI-based hippocampal volume in mild cognitive impairmentNeurology, 1999
- Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's diseaseAnnals of Neurology, 1997