Multispectral Image Analysis of Bruise Age

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/43268

Title: Multispectral Image Analysis of Bruise Age
Author: Sprigle, Stephen ; Yi, Dingrong ; Caspall, Jayme ; Linden, Maureen ; Kong, Linghua
Abstract: The detection and aging of bruises is important within clinical and forensic environments. Traditionally, visual and photographic assessment of bruise color is used to determine age, but this qualitative technique has been shown to be inaccurate and unreliable. Spectroscopy and multi-spectral imaging have demonstrated objectivity in identifying age-dependent features. However these devices are not well suited for clinical environments. The purpose of this study was to develop a technique to spectrally-age bruises that minimizes the filtering and hardware requirements while achieving acceptable accuracy. This approach will then be incorporated into a handheld, point-of-care technology that is clinically-viable and affordable. Sixteen bruises from elder residents of a long term care facility were imaged over time. A multi-spectral system collected images at 11 wavelengths ranging between 370-970 nm that corresponded to skin and blood chromophores. Normalized bruise reflectance (NBR)- defined as the ratio of optical reflectance coefficient of bruised skin over that of normal skin- was calculated for all bruises at all wavelengths. The smallest mean NBR, regardless of bruise age, was found at wavelength between 555 & 577nm suggesting that contrast in bruises are from the hemoglobin chromophores, and that they linger for a long duration. A contrast metric, based on the NBR at 460nm and 650nm, was found to be sensitive to age and requires further investigation. Overall, the study identified four key wavelengths that have promise to characterize bruise age. However, the high variability across bruises complicates the development of a handheld detection system until additional data is available.
Description: Copyright 2007 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. Presented at the Medical Imaging 2007: Computer-Aided Diagnosis 2007. San Diego, CA, USA SPIE. DOI:10.1117/12.709930
Type: Proceedings
URI: http://hdl.handle.net/1853/43268
Citation: Stephen Sprigle, Dingrong Yi, Jayme Caspall, Maureen Linden, Linghua Kong, and Mark Duckworth, "Multispectral image analysis of bruise age" .Proc. SPIE 6514, 65142T (2007).
Date: 2007
Contributor: Georgia Institute of Technology. Center for Assistive Technology and Environmental Access
Publisher: Georgia Institute of Technology
Subject: Bruise
Bruise age
Bruise color
Detection
Feature extraction
Multi-spectral imaging
Optical imaging
Tissue reflectance

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