Validation and optimization of myelin water imaging in a preclinical model of spinal cord injury
Myelin content is an important marker for neuropathology; however, direct imaging of myelin is difficult. Consequently, quantitative T2 based myelin water imaging measures myelin content indirectly by probing the property of the surrounding water. Typically, a lengthy multi-echo spin-echo sequence i...
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ndltd-UBC-oai-circle.library.ubc.ca-2429-596852018-01-05T17:29:25Z Validation and optimization of myelin water imaging in a preclinical model of spinal cord injury Chen, Henry Szu-Meng Myelin content is an important marker for neuropathology; however, direct imaging of myelin is difficult. Consequently, quantitative T2 based myelin water imaging measures myelin content indirectly by probing the property of the surrounding water. Typically, a lengthy multi-echo spin-echo sequence is used to obtain decay curves that are fitted to produce T2 distributions. In white matter, two peaks are observed, one with short and one with long T2 associated with water trapped between the myelin lipid bilayers and intra/extracellular water. The ratio of myelin water peak to the entire distribution is called the myelin water fraction (MWF) and correlates well the myelin content. This thesis has two parts. The first half deals with the use of compressed sensing (CS) to accelerate the lengthy sequence used in myelin water imaging. The CS CPMG sequence was implemented in 2D utilizing group-sparse reconstruction in order to take advantage of the correlation between echoes. Simulated undersampling and real undersampling experiments were performed. It was found that acceleration up to 2× was possible without impacting MWF map quality, wherever adequate SNR was available. This is followed by a brief investigation into 3D CS CPMG, where similar results were achieved. The second part of the thesis focuses on myelin water imaging in the presence of myelin debris. Because MWF is associated with the water trapped in between the myelin lipid bilayers, the reading depends heavily on myelin morphology. I compared MWF to transmission electron microscopy (TEM) derived myelin fraction using a rat injury model at normal (normal myelin), 3 weeks post-injury (a large amount of myelin debris), and 8 weeks post-injury (myelin debris partially cleared). I found that myelin water fraction correlated strongly with the amount of myelin lipid bilayers in both intact myelin and myelin debris. From the TEM images, it appears that myelin debris consists of areas of either normally spaced myelin or large watery spaces. No significant difference was found in myelin period among the three groups. Science, Faculty of Physics and Astronomy, Department of Graduate 2016-11-09T23:03:13Z 2017-01-21T04:13:00 2016 2016-02 Text Thesis/Dissertation http://hdl.handle.net/2429/59685 eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ University of British Columbia |
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English |
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Myelin content is an important marker for neuropathology; however, direct imaging of myelin is difficult. Consequently, quantitative T2 based myelin water imaging measures myelin content indirectly by probing the property of the surrounding water. Typically, a lengthy multi-echo spin-echo sequence is used to obtain decay curves that are fitted to produce T2 distributions. In white matter, two peaks are observed, one with short and one with long T2 associated with water trapped between the myelin lipid bilayers and intra/extracellular water. The ratio of myelin water peak to the entire distribution is called the myelin water fraction (MWF) and correlates well the myelin content.
This thesis has two parts. The first half deals with the use of compressed sensing (CS) to accelerate the lengthy sequence used in myelin water imaging. The CS CPMG sequence was implemented in 2D utilizing group-sparse reconstruction in order to take advantage of the correlation between echoes. Simulated undersampling and real undersampling experiments were performed. It was found that acceleration up to 2× was possible without impacting MWF map quality, wherever adequate SNR was available. This is followed by a brief investigation into 3D CS CPMG, where similar results were achieved.
The second part of the thesis focuses on myelin water imaging in the presence of myelin debris. Because MWF is associated with the water trapped in between the myelin lipid bilayers, the reading depends heavily on myelin morphology. I compared MWF to transmission electron microscopy (TEM) derived myelin fraction using a rat injury model at normal (normal myelin), 3 weeks post-injury (a large amount of myelin debris), and 8 weeks post-injury (myelin debris partially cleared). I found that myelin water fraction correlated strongly with the amount of myelin lipid bilayers in both intact myelin and myelin debris. From the TEM images, it appears that myelin debris consists of areas of either normally spaced myelin or large watery spaces. No significant difference was found in myelin period among the three groups. === Science, Faculty of === Physics and Astronomy, Department of === Graduate |
author |
Chen, Henry Szu-Meng |
spellingShingle |
Chen, Henry Szu-Meng Validation and optimization of myelin water imaging in a preclinical model of spinal cord injury |
author_facet |
Chen, Henry Szu-Meng |
author_sort |
Chen, Henry Szu-Meng |
title |
Validation and optimization of myelin water imaging in a preclinical model of spinal cord injury |
title_short |
Validation and optimization of myelin water imaging in a preclinical model of spinal cord injury |
title_full |
Validation and optimization of myelin water imaging in a preclinical model of spinal cord injury |
title_fullStr |
Validation and optimization of myelin water imaging in a preclinical model of spinal cord injury |
title_full_unstemmed |
Validation and optimization of myelin water imaging in a preclinical model of spinal cord injury |
title_sort |
validation and optimization of myelin water imaging in a preclinical model of spinal cord injury |
publisher |
University of British Columbia |
publishDate |
2016 |
url |
http://hdl.handle.net/2429/59685 |
work_keys_str_mv |
AT chenhenryszumeng validationandoptimizationofmyelinwaterimaginginapreclinicalmodelofspinalcordinjury |
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1718585459140984832 |