title: Dual tensor atlas generation based on a cohort of coregistered non-HARDI datasets.
abstract: We propose a method to create a dual tensor atlas from multiple coregistered non-HARDI datasets. Increased angular resolution is ensured by random variations of subject positioning in the scanner and different local rotations applied during coregistration resulting in dispersed gradient directions. Simulations incorporating residual coregistration misalignments show that using 10 subjects should already double the angular resolution, even at a relatively low b-value of b = 1000 smm(-2). Commisural corpus callosum fibers reconstructed by our method closely approximated those found in a HARDI dataset.
authors.affiliation: Dept of Radiology, Academic Medical Center, University of Amsterdam, NL. m.w.a.caan@tudelft.nl
authors.forename: Matthan
authors.initials: M
authors.lastname: Caan
authors.forename: Caroline
authors.initials: C
authors.lastname: Sage
authors.forename: Maaike
authors.initials: M
authors.lastname: van der Graaf
authors.forename: Cornelis
authors.initials: C
authors.lastname: Grimbergen
authors.forename: Stefan
authors.initials: S
authors.lastname: Sunaert
authors.forename: Lucas
authors.initials: L
authors.lastname: van Vliet
authors.forename: Frans
authors.initials: F
authors.lastname: Vos
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001921:Brain / Q000166:cytology*; D015331:Cohort Studies; D016208:Databases, Factual; D056324:Diffusion Tensor Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D009413:Nerve Fibers, Myelinated / Q000648:ultrastructure*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique