NMR Diffraction and Spatial Statistics of Stationary Systems

Nuclear magnetic resonance (NMR) spatial imaging data may be acquired, processed, and interpreted in ways that provide information directly analogous to diffraction experiments, with length scales determined by gradient strengths rather than radiation wavelengths. This approach, originally considere...

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Bibliographic Details
Published in:Science (American Association for the Advancement of Science) 1992-02, Vol.255 (5045), p.714-717
Main Authors: Barrall, G. A., Frydman, L., Chingas, G. C.
Format: Article
Language:English
Subjects:
Chemistry
Data sampling
Document imaging
Exact sciences and technology
Fourier transformations
General equipment and techniques
Hygrometers
Imaging
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Literary Devices
Magnetic fields
Magnetic resonance imaging
Materials research
Methods
Nuclear magnetic resonance
Patterson function
Physics
Signal noise
Spatial Ability
Statistics
Technology
Water
Wave diffraction
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Description
Summary:Nuclear magnetic resonance (NMR) spatial imaging data may be acquired, processed, and interpreted in ways that provide information directly analogous to diffraction experiments, with length scales determined by gradient strengths rather than radiation wavelengths. This approach, originally considered by Mansfield nearly two decades ago, provides access to autocorrelations of sample density that statistically characterize small-scale density variations. These NMR "Patterson functions" can be acquired orders of magnitude more rapidly than comparably resolved NMR images and are suitable for spatial characterization of small features in bulk samples, such as morphology in structural materials. Unlike hindered diffusion approaches, neither mobility, penetrants, nor transport time are required for examining granularity and porosity.
ISSN:0036-8075
1095-9203
DOI:10.1126/science.255.5045.714