2009 · 19 citations · 8 references
MedicineBiostatisticsNeuroscienceBiomedical ImagingDiagnostic ImagingDiagnostic RadiologyBrain ImagingDiffusion ImagingImage RegistrationMagnetic Resonance ImagingMedical Image AnalysisMedical ImagingDiffusion Mri PreprocessingMotion Artifact CorrectionMotion Artifact DetectionMultiple Comparisons CorrectionNeuroanatomical Atlas ConstructionVoxel-based RegistrationVoxelwise QuantificationWhite Matter Microstructure
Diffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps: 1) Preprocessing, including image format converting, image quality check, eddy-current and motion artifact correction, skull stripping and tensor image estimation, 2) study-specific unbiased DTI atlas computation via affine followed by fluid nonlinear registration and warping of all individual DTI images into the common atlas space to achieve voxel-wise correspondence, 3) voxelwise statistical analysis via heterogeneous linear regression and wild bootstrap technique for correcting for multiple comparisons. This pipeline was applied to process data from a fitness and aging study and preliminary results are presented. The results show that this fully automatic pipeline is suitable for voxel-wise group DTI analysis.
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Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Stephen M. Smith, Mark Jenkinson, Heidi Johansen‐Berg et al. · NeuroImage · 2006 · 6.6K citations
Unbiased diffeomorphic atlas construction for computational anatomy
Sarang Joshi, Brad Davis, Matthieu Jomier et al. · NeuroImage · 2004 · 861 citations
Computing, Anatomy, Computer Science +14
Group analysis of DTI fiber tract statistics with application to neurodevelopment
Casey Goodlett, P. Thomas Fletcher, John H. Gilmore et al. · NeuroImage · 2008 · 183 citations · Full text
Medicine, Neurobiology, Neuroscience +14