Development and application of quantitative MRI methods for assessing white matter integrity in the mouse brain

Healthy white matter in the brain and spinal cord is composed primarily of myelinated axons and glial cells. Myelinated axons transfer information between the peripheral nervous system and the central nervous system (CNS) as well as between centres within the CNS. Demyelination, a hallmark of neurod...

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Main Author: Thiessen, Jonathan
Other Authors: Martin, Melanie (Physics and Astronomy)
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/1993/9221
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spelling ndltd-MANITOBA-oai-mspace.lib.umanitoba.ca-1993-92212014-01-31T03:33:42Z Development and application of quantitative MRI methods for assessing white matter integrity in the mouse brain Thiessen, Jonathan Martin, Melanie (Physics and Astronomy) Gericke, Michael (Physics and Astronomy) King, Scott (Physics and Astronomy) Gough, Kathy (Chemistry) Kozlowski, Piotr (Physics and Astronomy, University of British Columbia) magnetic resonance imaging diffusion tensor imaging magnetization transfer imaging relaxometry demyelination cuprizone corpus callosum myelin electron microscopy multiple sclerosis white matter image processing Healthy white matter in the brain and spinal cord is composed primarily of myelinated axons and glial cells. Myelinated axons transfer information between the peripheral nervous system and the central nervous system (CNS) as well as between centres within the CNS. Demyelination, a hallmark of neurodegenerative autoimmune diseases such as multiple sclerosis (MS), can cause nerve damage and degrade signal propagation. Magnetic resonance imaging (MRI) methods thought to assess myelin integrity and the structural integrity of axons are improving both the diagnosis and understanding of white matter diseases such as MS. Current methods, however, are sensitive to many different pathologies, making the interpretation of individual MRI results difficult. For this dissertation, several quantitative MRI methods were developed and compared, including single component T1 and T2 relaxometry, multicomponent T2 relaxometry, diffusion tensor imaging (DTI), and quantitative magnetization transfer imaging (qMTI). These methods were tested on agarose gels, fixed rat spinal cords, healthy control mice, and the cuprizone mouse model of demyelination. Quantitative MRI measurements were correlated to ultrastructural measurements of white matter to determine the influence myelin content and axonal structure have on different MRI methods. Cellular distributions measured in electron micrographs of the corpus callosum correlated strongly to several different quantitative MRI metrics. The largest Spearman correlation coefficient varied depending on cellular type: longitudinal relaxation rates (RA/T1) vs. the myelinated axon fraction ( r = 0.90/-0.90), the qMTI-derived bound pool fraction (f) vs. the myelin sheath fraction ( r = 0.93), and the DTI-derived axial diffusivity vs. the non-myelinated cell fraction (r = 0.92). Using Pearson’s correlation coefficient, f was strongly correlated to the myelin sheath fraction (r = 0.98) with a linear equation predicting myelin content (5.37f −0.25). Of the calculated MRI metrics, f was the strongest indicator of myelin content while longitudinal relaxation rates and diffusivity measurements were the strongest indicators of changes in tissue structure. Multiparametric MRI measurements of relaxation, diffusion, and magnetization transfer give a more complete picture of white matter integrity. 2012-09-28T20:01:32Z 2012-09-28T20:01:32Z 2012-09-28 http://hdl.handle.net/1993/9221
collection NDLTD
sources NDLTD
topic magnetic resonance imaging
diffusion tensor imaging
magnetization transfer imaging
relaxometry
demyelination
cuprizone
corpus callosum
myelin
electron microscopy
multiple sclerosis
white matter
image processing
spellingShingle magnetic resonance imaging
diffusion tensor imaging
magnetization transfer imaging
relaxometry
demyelination
cuprizone
corpus callosum
myelin
electron microscopy
multiple sclerosis
white matter
image processing
Thiessen, Jonathan
Development and application of quantitative MRI methods for assessing white matter integrity in the mouse brain
description Healthy white matter in the brain and spinal cord is composed primarily of myelinated axons and glial cells. Myelinated axons transfer information between the peripheral nervous system and the central nervous system (CNS) as well as between centres within the CNS. Demyelination, a hallmark of neurodegenerative autoimmune diseases such as multiple sclerosis (MS), can cause nerve damage and degrade signal propagation. Magnetic resonance imaging (MRI) methods thought to assess myelin integrity and the structural integrity of axons are improving both the diagnosis and understanding of white matter diseases such as MS. Current methods, however, are sensitive to many different pathologies, making the interpretation of individual MRI results difficult. For this dissertation, several quantitative MRI methods were developed and compared, including single component T1 and T2 relaxometry, multicomponent T2 relaxometry, diffusion tensor imaging (DTI), and quantitative magnetization transfer imaging (qMTI). These methods were tested on agarose gels, fixed rat spinal cords, healthy control mice, and the cuprizone mouse model of demyelination. Quantitative MRI measurements were correlated to ultrastructural measurements of white matter to determine the influence myelin content and axonal structure have on different MRI methods. Cellular distributions measured in electron micrographs of the corpus callosum correlated strongly to several different quantitative MRI metrics. The largest Spearman correlation coefficient varied depending on cellular type: longitudinal relaxation rates (RA/T1) vs. the myelinated axon fraction ( r = 0.90/-0.90), the qMTI-derived bound pool fraction (f) vs. the myelin sheath fraction ( r = 0.93), and the DTI-derived axial diffusivity vs. the non-myelinated cell fraction (r = 0.92). Using Pearson’s correlation coefficient, f was strongly correlated to the myelin sheath fraction (r = 0.98) with a linear equation predicting myelin content (5.37f −0.25). Of the calculated MRI metrics, f was the strongest indicator of myelin content while longitudinal relaxation rates and diffusivity measurements were the strongest indicators of changes in tissue structure. Multiparametric MRI measurements of relaxation, diffusion, and magnetization transfer give a more complete picture of white matter integrity.
author2 Martin, Melanie (Physics and Astronomy)
author_facet Martin, Melanie (Physics and Astronomy)
Thiessen, Jonathan
author Thiessen, Jonathan
author_sort Thiessen, Jonathan
title Development and application of quantitative MRI methods for assessing white matter integrity in the mouse brain
title_short Development and application of quantitative MRI methods for assessing white matter integrity in the mouse brain
title_full Development and application of quantitative MRI methods for assessing white matter integrity in the mouse brain
title_fullStr Development and application of quantitative MRI methods for assessing white matter integrity in the mouse brain
title_full_unstemmed Development and application of quantitative MRI methods for assessing white matter integrity in the mouse brain
title_sort development and application of quantitative mri methods for assessing white matter integrity in the mouse brain
publishDate 2012
url http://hdl.handle.net/1993/9221
work_keys_str_mv AT thiessenjonathan developmentandapplicationofquantitativemrimethodsforassessingwhitematterintegrityinthemousebrain
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