1. Incorporating non-linear alignment and multi-compartmental modeling for improved human optic nerve diffusion imaging
- Author
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Robert T. Naismith, Junqian Xu, Courtney Dula, Peng Sun, Joo Won Kim, Alan C. Seifert, Jesper L. R. Andersson, and Sheng-Kwei Song
- Subjects
Adult ,Male ,Materials science ,genetic structures ,Cognitive Neuroscience ,Signal-To-Noise Ratio ,050105 experimental psychology ,Article ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Small animal ,medicine ,Image Processing, Computer-Assisted ,Humans ,0501 psychology and cognitive sciences ,Spectrum imaging ,medicine.diagnostic_test ,05 social sciences ,Magnetic resonance imaging ,Optic Nerve ,Signal Processing, Computer-Assisted ,eye diseases ,Diffusion imaging ,Nonlinear system ,Diffusion Tensor Imaging ,Neurology ,Free water ,Optic nerve ,Female ,sense organs ,030217 neurology & neurosurgery ,Algorithms ,Diffusion MRI ,Biomedical engineering - Abstract
In vivo human optic nerve diffusion magnetic resonance imaging (dMRI) is technically challenging with two outstanding issues not yet well addressed: (i) non-linear optic nerve movement, independent of head motion, and (ii) effect from partial-volumed cerebrospinal fluid or interstitial fluid such as in edema. In this work, we developed a non-linear optic nerve registration algorithm for improved volume alignment in axial high resolution optic nerve dMRI. During eyes-closed dMRI data acquisition, optic nerve dMRI measurements by diffusion tensor imaging (DTI) with and without free water elimination (FWE), and by diffusion basis spectrum imaging (DBSI), as well as optic nerve motion, were characterized in healthy adults at various locations along the posterior-to-anterior dimension. Optic nerve DTI results showed consistent trends in microstructural parametric measurements along the posterior-to-anterior direction of the entire intraorbital optic nerve, while the anterior portion of the intraorbital optic nerve exhibited the largest spatial displacement. Multi-compartmental dMRI modeling, such as DTI with FWE or DBSI, was less subject to spatially dependent biases in diffusivity and anisotropy measurements in the optic nerve which corresponded to similar spatial distributions of the estimated fraction of isotropic diffusion components. DBSI results derived from our clinically feasible (∼10 min) optic nerve dMRI protocol in this study are consistent with those from small animal studies, which provides the basis for evaluating the utility of multi-compartmental dMRI modeling in characterizing coexisting pathophysiology in human optic neuropathies.
- Published
- 2018