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Proceedings Paper

Hyperspectral imaging applied to medical diagnoses and food safety
Author(s): Oscar Carrasco; Richard B. Gomez; Arun Chainani; William E. Roper
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Paper Abstract

This paper analyzes the feasibility and performance of HSI systems for medical diagnosis as well as for food safety. Illness prevention and early disease detection are key elements for maintaining good health. Health care practitioners worldwide rely on innovative electronic devices to accurately identify disease. Hyperspectral imaging (HSI) is an emerging technique that may provide a less invasive procedure than conventional diagnostic imaging. By analyzing reflected and fluorescent light applied to the human body, a HSI system serves as a diagnostic tool as well as a method for evaluating the effectiveness of applied therapies. The safe supply and production of food is also of paramount importance to public health illness prevention. Although this paper will focus on imaging and spectroscopy in food inspection procedures -- the detection of contaminated food sources -- to ensure food quality, HSI also shows promise in detecting pesticide levels in food production (agriculture.)

Paper Details

Date Published: 14 August 2003
PDF: 7 pages
Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); doi: 10.1117/12.502589
Show Author Affiliations
Oscar Carrasco, George Washington Univ. (United States)
Richard B. Gomez, George Mason Univ. (United States)
Arun Chainani, George Washington Univ. (United States)
AuMed, Inc. (United States)
William E. Roper, George Washington Univ. (United States)


Published in SPIE Proceedings Vol. 5097:
Geo-Spatial and Temporal Image and Data Exploitation III
Nickolas L. Faust; William E. Roper, Editor(s)

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