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Proceedings Paper

Microwave radiometric signatures of temperature anomalies in tissue
Author(s): Patrick Kelly; Tamara Sobers; Benjamin St. Peter; Paul Siqueira; Geoffrey Capraro
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Paper Abstract

Because of its ability to measure the temperature-dependent power of electromagnetic radiation emitted from tissue down to several centimeters beneath the skin, microwave radiometry has long been of interest as a means for identifying the internal tissue temperature anomalies that arise from abnormalities in physiological parameters such as metabolic and blood perfusion rates. However, the inherent lack of specificity and resolution in microwave radiometer measurements has limited the clinical usefulness of the technique. The idea underlying this work is to make use of information (assumed to be available from some other modality) about the tissue configuration in the volume of interest to study and improve the accuracy of anomaly detection and estimation from radiometric data. In particular, knowledge of the specific anatomy and the properties of the overall measurement system enable determination of the signatures of localized physiological abnormalities in the radiometry data. These signatures are used to investigate the accuracy with which the location of an anomaly can be determined from radiometric measurements. Algorithms based on matches to entries in a signature dictionary are developed for anomaly detection and estimation. The accuracy of anomaly identification is improved when the coupling of power from the body to the sensor is optimized. We describe the design of a radiometer waveguide having dielectric properties appropriate for biomedical applications.

Paper Details

Date Published: 3 March 2012
PDF: 10 pages
Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 831368 (3 March 2012); doi: 10.1117/12.910785
Show Author Affiliations
Patrick Kelly, Univ. of Massachusetts Amherst (United States)
Tamara Sobers, Univ. of Massachusetts Amherst (United States)
Benjamin St. Peter, Univ. of Massachusetts Amherst (United States)
Paul Siqueira, Univ. of Massachusetts Amherst (United States)
Geoffrey Capraro, Alpert Medical School, Brown Univ. (United States)


Published in SPIE Proceedings Vol. 8313:
Medical Imaging 2012: Physics of Medical Imaging
Norbert J. Pelc; Robert M. Nishikawa; Bruce R. Whiting, Editor(s)

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