Magnetic resonance imaging (MRI) is a uniquely informative soft tissue imaging modality with contrast that is sensitive to a myriad of physical, chemical, and functional characteristics of tissue but often lacks specificity. On the spatial scale relevant to water proton (1H) nuclear magnetic resonance (NMR), tissues are heterogeneous and, consequently, exhibit an NMR signal that is the complex summation of spatially varying characteristics. Most MRI protocols provide contrast between tissues that can be resolved spatially, but yield little or no quantitative information about the variation in NMR signal that exists on a smaller scale, that is, the sub-voxel scale. This quantitative sub-voxel information is alluring because it provides specificity to tissue micro-anatomy. Development of quantitative sub-voxel MRI tissue characterization requires coordinated advancement on two fronts: 1) quantitative models that relate relevant micro-anatomical characteristics to 1H NMR signal characteristics, and 2) practical and effective quantitative MRI methods that can translate these the use of sub-voxel tissue models to widespread utility for researchers and clinicians. The proposed studies address both modeling and method development with the aim to develop practical and quantitative imaging biomarkers for micro-anatomical characteristics of white matter and skeletal muscle, including 1) myelin volume fraction and myelin thickness in normal, developing, and abnormally developing white matter, and 2) myofiber volume fraction and size, in the presence of inflammation and fibrosis. Such biomarkers have the potential to impact research and clinical diagnostics by providing quantitative and specific measures to track changes in disorders associated with abnormal white matter development, such as Schizophrenia and Autism, as well muscle injuries and diseases such as Muscular Dystrophy.

Public Health Relevance

MRI is a widespread diagnostic imaging modality capable of relatively non-invasive visualization of soft tissue. The contrast in MRI results from many complex interactions of water molecules in the body with each other and the physical and chemical characteristics of their local environments. This research program aims to better relate MRI contrast to specific micro-anatomical characteristics in neural tissue and skeletal muscle. This work has broad potential impact the diagnostic and prognostic capabilities of MRI for a wide array of diseases and injuries.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB001744-09
Application #
8510475
Study Section
Special Emphasis Panel (ZRG1-SBIB-P (02))
Program Officer
Liu, Guoying
Project Start
2003-09-30
Project End
2015-07-31
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
9
Fiscal Year
2013
Total Cost
$325,951
Indirect Cost
$113,776
Name
Vanderbilt University Medical Center
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
004413456
City
Nashville
State
TN
Country
United States
Zip Code
37212
Lankford, Christopher L; Does, Mark D (2018) Propagation of error from parameter constraints in quantitative MRI: Example application of multiple spin echo T2 mapping. Magn Reson Med 79:673-682
West, Kathryn L; Kelm, Nathaniel D; Carson, Robert P et al. (2018) Myelin volume fraction imaging with MRI. Neuroimage 182:511-521
West, Kathryn L; Kelm, Nathaniel D; Carson, Robert P et al. (2018) Experimental studies of g-ratio MRI in ex vivo mouse brain. Neuroimage 167:366-371
Harkins, K D; Does, M D (2016) Simulations on the influence of myelin water in diffusion-weighted imaging. Phys Med Biol 61:4729-45
Kelm, Nathaniel D; West, Kathryn L; Carson, Robert P et al. (2016) Evaluation of diffusion kurtosis imaging in ex vivo hypomyelinated mouse brains. Neuroimage 124:612-626
West, Kathryn L; Kelm, Nathaniel D; Carson, Robert P et al. (2016) A revised model for estimating g-ratio from MRI. Neuroimage 125:1155-1158
Xu, Junzhong; Li, Hua; Li, Ke et al. (2016) Fast and simplified mapping of mean axon diameter using temporal diffusion spectroscopy. NMR Biomed 29:400-10
Harkins, Kevin D; Xu, Junzhong; Dula, Adrienne N et al. (2016) The microstructural correlates of T1 in white matter. Magn Reson Med 75:1341-5
West, Kathryn L; Kelm, Nathaniel D; Carson, Robert P et al. (2015) Quantitative analysis of mouse corpus callosum from electron microscopy images. Data Brief 5:124-8
Li, Ke; Dortch, Richard D; Kroop, Susan F et al. (2015) A rapid approach for quantitative magnetization transfer imaging in thigh muscles using the pulsed saturation method. Magn Reson Imaging 33:709-17

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