Zhang, KunyanSharma, Shrushrita2017-06-162017-06-1620172017http://hdl.handle.net/11023/3889Changes in the alignment of white matter tracts are common in many neurological disorders such as multiple sclerosis (MS). Currently advanced MRI methods including diffusion-weighted imaging is the mainstay in assessing tissue coherency and anisotropy. In this thesis, I have implemented and verified a novel image-processing method for this purpose using conventional MRI. This is done based on Fourier transform power spectrum. Outcomes were evaluated in 3 steps: 1) testing feasibility using brain areas with highly aligned nerve fiber tracks in T2- weighted MRI; 2) confirming pathological relevance using postmortem brain sample; and 3) assessing utility by comparing with diffusion tensor imaging. To improve the accuracy of comparison with pathology, I have also conducted quantitative histology besides traditional analysis of the staining density of myelin and axons. The results suggest that advanced analysis of clinical MRI may provide valuable information as powerful as advanced MRI to enhance the measurement of tissue property.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Engineering--Biomedicalmaster thesis10.11575/PRISM/24869