Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Approaches to oscillating-gradient fast scanning in two-dimensional nuclear magnetic resonance imaging

Thesis/Dissertation ·
OSTI ID:7066898

Various improvements to the theory and practice of oscillating-gradient NMR imaging are presented. In reconstruction theory, a relationship is established between the two major types of reconstruction, these being the one- and two-dimensional Fourier-transform methods. Using the analysis that results, a study is made of exact reconstruction methods, where exact is defined to mean as good as slow-imaging methods or to be perfect reconstruction when there is no noise or experimental errors in the data. Such exactness is tested by using discrete sets of data in computer-simulation files, making from them simulated NMR signals, then reconstructing these signals into images that have no Gibbs error due to the discreteness of the original data and are correct copies of the original data to within the accuracy of the computer's arithmetic capability. A first exact method was developed using the single large one-dimensional Fourier transform. A second exact method, due to Haacke, with faster speed and lower signal-to-noise ratio was studied and improved. A third exact reconstruction method that used the two-dimensional Fourier transform is given for comparison.

Research Organization:
California Univ., Irvine, CA (USA)
OSTI ID:
7066898
Country of Publication:
United States
Language:
English

Similar Records

The gridding method for image reconstruction by Fourier transformation
Journal Article · Fri Sep 01 00:00:00 EDT 1995 · IEEE Transactions on Medical Imaging · OSTI ID:128801

A comparison of the noise characteristics of projection reconstruction and two-dimensional fourier transformations in NMR imaging
Journal Article · Mon Jan 31 23:00:00 EST 1983 · IEEE Trans. Nucl. Sci.; (United States) · OSTI ID:6101924

Two-dimensional maximum entropy reconstruction of radio brightness
Journal Article · Fri Dec 31 23:00:00 EST 1976 · Radio Sci.; (United States) · OSTI ID:7077260