Title

Millimeter Wave Reflectometry and Imaging for Noninvasive Diagnosis of Skin Burn Injuries

Abstract

Accurate assessment of the degree of burn in human skin is critically important for burn technicians and physicians when making treatment decisions. Millimeter wave reflectometry and imaging are potential diagnostic tools capable of distinguishing between healthy and burned skin, as the dielectric properties of the latter are significantly different from that of the former. In this paper, the commonly used layered model of human skin is used to simulate the reflection properties of skin with varying degrees of burn, at Ka-band (26.5-40 GHz), to demonstrate the potential for such diagnosis. Measurements of complex reflection coefficient are also conducted on a pigskin with and without medical dressing, which is a close mimic to human skin. Good agreement is obtained, in amplitude and variation trends in the reflection coefficient results, between simulation and measurement results, indicating the potential effectiveness and feasibility of burn degree diagnosis by localized millimeter wave reflectometry and complex reflection coefficient L2-Norm analysis. Finally, synthetic aperture radar imaging technique is used to examine the efficacy of imaging for burn wound at V-band (50-75 GHz). In addition, the effectiveness of localized and imaging methods for evaluating burns covered by medical dressings is also demonstrated.

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Diagnosis; Dielectric Properties; Imaging Techniques; Medical Imaging; Reflection; Reflectometers; Synthetic Aperture Radar; Complex Reflection Coefficient; Diagnostic Tools; Measurements Of; Medical Dressings; Millimeter Wave Reflectometry; Non-Invasive Diagnosis; Reflection Properties; Simulations And Measurements; Millimeter Waves; Electromagnetic Measurements; Medical Diagnosis; Millimeter Wave Imaging; Reflectometry; Skin

International Standard Serial Number (ISSN)

0018-9456

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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