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Proceedings Paper

Detail To Totality Ratio, Contrast, And Signal To Noise Ratio Constraints In Multi-Dimensional NMR Imaging
Author(s): Paul R. Moran
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Paper Abstract

Magnetic resonance imaging may be extended by various orders of modulation-encodings to acquire simultaneously FID data-sets representing very high dimensionality. For example, we may encode three spatial-position dimensions, three molecular-velocity dimensions, a chemical shift dimension, three perfusive flow dimensions, and so on. Careful observation on even the common 2D-MRI scans, however, yield some puzzling results about the behavior of contrast/detail detectability. The multi-dimensional options and capabilities of MRI arise because the physical system inherently is an interferometric data-acquisition modality. There is a "hidden" dimension in the data-acquisition, namely, the resolution scale of digitization of the FID-data values. This dimension implies requirements on the dynamic-range of the data-acquisition, just as the Nyquist-limit implies requirements on the fineness of the temporal sampling mesh. One must account for the limitations so imposed. We propose here a new quantitative imaging descriptor, the Detail-in-Image to Totality-in-object Ratio (DITOR), whose values impose limitations upon the system dynamic-range required. These limitations become more severe as the imaging dimensionality becomes larger, and MRI system behavior in this regard is very different from ordinary x-ray medical imaging. This paper shows several examples of phantom and human studies which may well illustrate the limitations implied by DITOR, and develops the role of stochastic noise contributions to the DITOR requirements.

Paper Details

Date Published: 1 January 1986
PDF: 12 pages
Proc. SPIE 0671, Physics and Engineering of Computerized Multidimensional Imaging and Processing, (1 January 1986); doi: 10.1117/12.966710
Show Author Affiliations
Paul R. Moran, Wake Forest University (United States)

Published in SPIE Proceedings Vol. 0671:
Physics and Engineering of Computerized Multidimensional Imaging and Processing
Thomas F. Budinger; Zang-Hee Cho; Orhan Nalcioglu, Editor(s)

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