The overall aim of the studies proposed is to develop a comprehensive and quantitative understanding of the factors that affect the apparent diffusion rate of water and small metabolites in tissues, as measured using nuclear magnetic resonance. An improved model of water diffusion is needed in order to interpret the variations in apparent diffusion in normal tissues and pathological conditions which give rise to contrast in diffusion-weighted magnetic resonance imaging (DWI). DWI is useful for detecting ischemia and evaluating stroke, as well as for characterizing the state and response of tumors.
We aim to clarify some specific controversies arising from previous studies of water diffusion, and to develop new insights into the structural features and physiological processes within tissues that affect apparent diffusion rates. In the next funding period we will further develop new methods to measure diffusion over much shorter times and finer spatial scales using so-called temporal diffusion spectroscopy, and will then apply these methods to derive new information on tissue structure and water compartments. We will also extend our studies to non-neural tissues and model systems. To achieve these aims we will implement oscillating gradient spin echo (OGSE) measurements of diffusion of water at 9.4T to probe tissue structure on a scale << 1 micron, and will record OGSE diffusion spectra over the range 0-100 kHz in tissues and tissue models. From these data we will extract the pore (cell) size, intrinsic water diffusion rates and surface to volume ratio of spaces within tissue. We will use the OGSE dispersion data and model fits to establish which of these parameters change as a result of various physiological perturbations. In addition, we will confirm the measurements and predictions from OGSE studies by performing elaborate computer simulations of water in realistic compartmental tissues and by other measurements and histology.
We aim to perform measurements in a selection of carefully controlled samples (isolated rat optic nerve; perfused glial cell pellets; in synchronized HeLa cells at different phases of mitosis; in vitro in a perfused muscle preparation; and in mouse tissues in vivo and post-mortem) to extract new indices of tissue structure and the relationship of water diffusion behavior to basic tissue biophysical properties.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
2R01NS034834-05A1
Application #
6875856
Study Section
Special Emphasis Panel (ZRG1-SBIB-F (02))
Program Officer
Chen, Daofen
Project Start
1996-08-15
Project End
2008-12-31
Budget Start
2005-01-15
Budget End
2005-12-31
Support Year
5
Fiscal Year
2005
Total Cost
$355,439
Indirect Cost
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
Shi, Zhaoyue; Wu, Ruiqi; Yang, Pai-Feng et al. (2017) High spatial correspondence at a columnar level between activation and resting state fMRI signals and local field potentials. Proc Natl Acad Sci U S A 114:5253-5258
Colvin, Daniel C; Jourquin, Jerome; Xu, Junzhong et al. (2011) Effects of intracellular organelles on the apparent diffusion coefficient of water molecules in cultured human embryonic kidney cells. Magn Reson Med 65:796-801
Xu, Junzhong; Does, Mark D; Gore, John C (2011) Dependence of temporal diffusion spectra on microstructural properties of biological tissues. Magn Reson Imaging 29:380-90
Colvin, Daniel C; Loveless, Mary E; Does, Mark D et al. (2011) Earlier detection of tumor treatment response using magnetic resonance diffusion imaging with oscillating gradients. Magn Reson Imaging 29:315-23
Xu, Junzhong; Xie, Jingping; Jourquin, Jerome et al. (2011) Influence of cell cycle phase on apparent diffusion coefficient in synchronized cells detected using temporal diffusion spectroscopy. Magn Reson Med 65:920-6
Gore, John C; Xu, Junzhong; Colvin, Daniel C et al. (2010) Characterization of tissue structure at varying length scales using temporal diffusion spectroscopy. NMR Biomed 23:745-56
Atuegwu, Nkiruka C; Gore, John C; Yankeelov, Thomas E (2010) The integration of quantitative multi-modality imaging data into mathematical models of tumors. Phys Med Biol 55:2429-49
Heemskerk, Anneriet M; Sinha, Tuhin K; Wilson, Kevin J et al. (2010) Repeatability of DTI-based skeletal muscle fiber tracking. NMR Biomed 23:294-303
Xu, Qing; Anderson, Adam W; Gore, John C et al. (2010) Efficient anisotropic filtering of diffusion tensor images. Magn Reson Imaging 28:200-11
Lee, Robert E; Welch, E Brian; Cobb, Jared G et al. (2009) Implementation of a semi-automated post-processing system for parametric MRI mapping of human breast cancer. J Digit Imaging 22:424-36

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