title: Large deformation diffeomorphic registration of diffusion-weighted images with explicit orientation optimization.
abstract: We seek to compute a diffeomorphic map between a pair of diffusion-weighted images under large deformation. Unlike existing techniques, our method allows any diffusion model to be fitted after registration for subsequent multifaceted analysis. This is achieved by directly aligning the diffusion-weighted images using a large deformation diffeomorphic registration framework formulated from an optimal control perspective. Our algorithm seeks the optimal coordinate mapping by simultaneously considering structural alignment, local fiber reorientation, and deformation regularization. Our algorithm also incorporates a multi-kernel strategy to concurrently register anatomical structures of different scales. We demonstrate the efficacy of our approach using in vivo data and report on detailed qualitative and quantitative results in comparison with several different registration strategies.
authors.affiliation: Department of Radiology, Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, USA. peizhang@email.unc.edu
authors.forename: Pei
authors.initials: P
authors.lastname: Zhang
authors.affiliation: Department of Computer Science, Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, USA.
authors.forename: Marc
authors.initials: M
authors.lastname: Niethammer
authors.affiliation: Department of Computer Science, Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, USA.
authors.forename: Dinggang
authors.initials: D
authors.lastname: Shen
authors.affiliation: Department of Radiology, Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, USA.
authors.forename: Pew-Thian
authors.initials: PT
authors.lastname: Yap
mesh_terms: D000328:Adult; D000465:Algorithms; D001185:Artificial Intelligence; D001921:Brain / Q000033:anatomy & histology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique