Volume 23, Issue 7 p. 745-756
Special Issue Review Article

Characterization of tissue structure at varying length scales using temporal diffusion spectroscopy

John C. Gore

Corresponding Author

John C. Gore

Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA

Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA

Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA

Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, USA

Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA

Vanderbilt University Institute of Imaging Science, 1161, 21st Avenue South, Nashville, TN 37232, USA.Search for more papers by this author
Junzhong Xu

Junzhong Xu

Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA

Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA

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Daniel C. Colvin

Daniel C. Colvin

Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA

Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA

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Thomas E. Yankeelov

Thomas E. Yankeelov

Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA

Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA

Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA

Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, USA

Department of Cancer Biology, Vanderbilt University, Nashville, TN, USA

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Edward C. Parsons

Edward C. Parsons

Burlington, MA, USA

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Mark D. Does

Mark D. Does

Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA

Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA

Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA

Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA

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First published: 30 July 2010
Citations: 135

This article is published in NMR in Biomedicine as a special issue on Progress in Diffusion-Weighted Imaging: Concepts, Techniques, and Applications to the Central Nervous System, edited by Jens H. Jensen and Joseph A. Helpern, Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, USA.

Abstract

The concepts, theoretical behavior and experimental applications of temporal diffusion spectroscopy are reviewed and illustrated. Temporal diffusion spectra are obtained using oscillating-gradient waveforms in diffusion-weighted measurements, and represent the manner in which various spectral components of molecular velocity correlations vary in different geometrical structures that restrict or hinder free movements. Measurements made at different gradient frequencies reveal information on the scale of restrictions or hindrances to free diffusion, and the shape of a spectrum reveals the relative contributions of spatial restrictions at different distance scales. Such spectra differ from other so-called diffusion spectra which depict spatial frequencies and are defined at a fixed diffusion time. Experimentally, oscillating gradients at moderate frequency are more feasible for exploring restrictions at very short distances which, in tissues, correspond to structures smaller than cells. We describe the underlying concepts of temporal diffusion spectra and provide analytical expressions for the behavior of the diffusion coefficient as a function of gradient frequency in simple geometries with different dimensions. Diffusion in more complex model media that mimic tissues has been simulated using numerical methods. Experimental measurements of diffusion spectra have been obtained in suspensions of particles and cells, as well as in vivo in intact animals. An observation of particular interest is the increased contrast and heterogeneity observed in tumors using oscillating gradients at moderate frequency compared with conventional pulse gradient methods, and the potential for detecting changes in tumors early in their response to treatment. Computer simulations suggest that diffusion spectral measurements may be sensitive to intracellular structures, such as nuclear size, and that changes in tissue diffusion properties may be measured before there are changes in cell density. Copyright © 2010 John Wiley & Sons, Ltd.