Measurements of change in thermal images due to applied pressure

Stephanie L. Bennett, R. Goubran, F. Knoefel
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引用次数: 4

Abstract

Thermal imaging is of value to medical professionals because of its low risk and non-invasive properties. While thermal imaging has been explored in the area of pressure ulcers, many relevant papers address existing pressure ulcers and few address the prevention of pressure ulcers. This paper aims to examine the potential of thermal imaging in the prevention of pressure ulcers by extracting temperature-based and region-based measurements from thermal images and quantifying thermal patterns. A subject was asked to press on a pressure sensor mat at two specified intensities, and a series of thermal images were taken before and after to track thermal behaviour. These images were subjected to standard image processing techniques before temperature specific contour and area measurements were extracted as well as region specific intensity and weighted centroid measurements. Results indicated that the contour and area measurements were able to capture the temperature pattern of the whole hand, while the intensity measurements were able to indicate region specific thermal patterns. These results suggest that the extraction of measurements from a series of thermal images can capture and quantify visually identifiable thermal patterns of the hand over time. These findings will be expanded upon in future work by further examining different measurements, sharper images, different equipment and the involvement of elderly patients. While future collection of patient data is expected to yield different thermal patterns, this paper has demonstrated recognition and quantification of a pattern, regardless of the pattern itself.
由于施加压力而引起的热像变化的测量
热成像因其低风险和非侵入性而对医学专业人员有价值。虽然热成像已经在压疮领域进行了探索,但许多相关的论文都是针对现有的压疮,而很少涉及压疮的预防。本文旨在通过从热图像中提取基于温度和基于区域的测量并量化热模式来研究热成像在预防压疮方面的潜力。受试者被要求在两个指定强度下按压压力传感器垫,并在前后拍摄一系列热图像以跟踪热行为。这些图像经过标准的图像处理技术,然后提取温度比轮廓和面积测量,以及区域比强度和加权质心测量。结果表明,轮廓和面积测量能够捕获整个手的温度模式,而强度测量能够显示特定区域的热模式。这些结果表明,从一系列热图像中提取测量值可以捕获和量化手部随时间变化的视觉可识别的热模式。这些发现将在未来的工作中进一步扩展,通过进一步研究不同的测量方法,更清晰的图像,不同的设备和老年患者的参与。虽然未来收集的患者数据预计会产生不同的热模式,但本文已经证明了一种模式的识别和量化,而不考虑模式本身。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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