title: A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI.
abstract: We propose a novel framework to simultaneously represent the diffusion-weighted MRI (dMRI) signal over diffusion times, gradient strengths and gradient directions. Current frameworks such as the 3D Simple Harmonic Oscillator Reconstruction and Estimation basis (3D-SHORE) only represent the signal over the spatial domain, leaving the temporal dependency as a fixed parameter. However, microstructure-focused techniques such as Axcaliber and ActiveAx provide evidence of the importance of sampling the dMRI space over .diffusion time. Up to now there exists no generalized framework that simultaneously models the dependence of the dMRI signal in space and time. We use a functional basis to fit the 3D+t spatio-temporal dMRI signal, similarly to the 3D-SHORE basis in three dimensional 'q-space'. The lowest order term in this expansion contains an isotropic diffusion tensor that characterizes the Gaussian displacement distribution, multiplied by a negative exponential. We regularize the signal fitting by minimizing the norm of the analytic Laplacian of the basis, and validate our technique on synthetic data generated using the theoretical model proposed by Callaghan et al. We show that our method is robust to noise, and can accurately describe the restricted spatio-temporal signal decay originating from tissue models such as cylindrical pores. From the fitting we can then estimate the axon radius distribution parameters along any direction using approaches similar to AxCaliber. We also apply our method on real data from an ActiveAx acquisition. Overall, our approach allows one to represent the complete 3D+t dMRI signal, which should prove helpful in understanding normal and pathologic nervous tissue.
authors.forename: Rutger
authors.initials: R
authors.lastname: Fick
authors.forename: Demian
authors.initials: D
authors.lastname: Wassermann
authors.forename: Marco
authors.initials: M
authors.lastname: Pizzolato
authors.forename: Rachid
authors.initials: R
authors.lastname: Deriche
mesh_terms: D000465:Algorithms; D000818:Animals; D003337:Corpus Callosum / Q000648:ultrastructure*; D056324:Diffusion Tensor Imaging / Q000379:methods*; D000882:Haplorhini; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009413:Nerve Fibers, Myelinated / Q000648:ultrastructure*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D062211:Spatio-Temporal Analysis; D013382:Subtraction Technique