Improved imaging of brain white matter using diffusion weighted magnetic resonance imaging
Diffusion weighted magnetic resonance imaging (DW-MRI) is an imaging technique that provides a measure of local tissue microstructure based on the water molecular diffusion. Although this imaging method has been successfully used in investigating brain white matter for normal and various dysfunctional states, major limitations of this technique have recently been identified. In diffusion tensor MRI (DT-MRI), image noise produces both noise and bias in the estimated tensor, and leads to errors in estimated axonal fiber pathways. Moreover the single-tensor model is inappropriate in regions with non-parallel fiber structure. Several high angular resolution diffusion imaging (HARDI) methods have been proposed as alternative tools for resolving multiple fiber structures within a single voxel. At low SNR, however, fiber orientation from HARDI becomes unreliable. Also none of the HARDI methods can provide estimates of the intrinsic diffusion properties of any of the fibers. Addressing limitations of this technique, we suggest improved imaging methods for brain white matter in conventional and ultra high field imaging environments. This study provides experimental and theoretical results about the uncertainty in fiber orientation using DT-MRI. It proposes methods for the estimation of intrinsic diffusion properties as well as reliable fiber orientation distribution (FOD) functions using HARDI with simulations and in vivo experiments. These methods are then applied to ultra high field strength experiments using a field inhomogeneity correction for image distortions. In summary, the results of this study provide improved diffusion imaging methods for human and/or non-human primates.
This item appears in the following collection(s):
Showing items related by title, author, creator and subject.
Ou, Xiawei (2007-11-29)Department: PhysicsThis dissertation discusses magnetization transfer effects in magnetic resonance imaging and the development and applications of quantitative magnetization transfer imaging techniques. Specifically, the magnetization ...
Arlinghaus, Lori R. (2009-01-15)Department: Biomedical EngineeringDiffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique that provides information about the organization and structural integrity of tissue. It has become an increasingly popular tool for investigation ...
Predicting the Spatio-Temporal Evolution of Tumor Growth and Treatment Response in a Murine Model of Glioma Hormuth, David Andrew II (2016-03-30)Department: Biomedical EngineeringGlioblastoma is a highly invasive and aggressive brain tumor which accounts for nearly 82% of all gliomas. Patients with glioblastoma typically have a poor prognosis, suffering recurrence 7 to 10 months from the conclusion ...