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Proceedings Paper

Automatic analysis of nuclear-magnetic-resonance-spectroscopy clinical research data
Author(s): Katherine N. Scott; David C. Wilson; Angela P. Bruner; Teresa A. Lyles; Brandon Underhill; Edward A. Geiser; J. Ray Ballinger; James D. Scott; Christine B. Stopka
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Paper Abstract

A major problem of P-31 nuclear magnetic spectroscopy (MRS) in vivo applications is that when large data sets are acquired, the time invested in data reduction and analysis with currently available technologies may totally overshadow the time required for data acquisition. An example is out MRS monitoring of exercise therapy for patients with peripheral vascular disease. In these, the spectral acquisition requires 90 minutes per patient study, whereas data analysis and reduction requires 6-8 hours. Our laboratory currently uses the proprietary software SA/GE developed by General Electric. However, other software packages have similar limitations. When data analysis takes this long, the researcher does not have the rapid feedback required to ascertain the quality of data acquired nor the result of the study. This highly undesirable even in a research environment, but becomes intolerable in the clinical setting. The purpose of this report is to outline progress towards the development of an automated method for eliminating the spectral analysis burden on the researcher working in the clinical setting.

Paper Details

Date Published: 1 March 1998
PDF: 12 pages
Proc. SPIE 3240, 26th AIPR Workshop: Exploiting New Image Sources and Sensors, (1 March 1998); doi: 10.1117/12.300074
Show Author Affiliations
Katherine N. Scott, Univ. of Florida and Veterans Affairs Medical Ctr. (United States)
David C. Wilson, Univ. of Florida and Veterans Affairs Medical Ctr. (United States)
Angela P. Bruner, Univ. of Florida and Veterans Affairs Medical Ctr. (United States)
Teresa A. Lyles, Univ. of Florida and Veterans Affairs Medical Ctr. (United States)
Brandon Underhill, Univ. of Florida and Veterans Affairs Medical Ctr. (United States)
Edward A. Geiser, Univ. of Florida and Veterans Affairs Medical Ctr. (United States)
J. Ray Ballinger, Univ. of Florida and Veterans Affairs Medical Ctr. (United States)
James D. Scott, Univ. of Florida and Veterans Affairs Medical Ctr. (United States)
Christine B. Stopka, Univ. of Florida and Veterans Affairs Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 3240:
26th AIPR Workshop: Exploiting New Image Sources and Sensors
J. Michael Selander, Editor(s)

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