Infrared Thermography

Pereira, Carina Barbosa; Yu, Xinchi; Dahlmanns, Stephan; Blažek, Vladimír; Leonhardt, Steffen; Teichmann, Daniel

doi:10.1007/978-3-319-98974-7_1

Cited by 7 publications

(2 citation statements)

References 69 publications

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“…30 fps temporal resolution allows dynamic temperature changes to be analyzed. To correctly calculate surface temperatures based on emitted radiation, the emissivity of the object must be known [16] [17]. Concerning the spectral domain, human skin is a blackbody radiator with an emissivity of 0.97-0.99 [18] and also functions perfectly as a roomtemperature infrared radiator.…”

Section: Introductionmentioning

confidence: 99%

Green Synthesis of Zinc Oxide Nanoparticles to Study its Effect on the Skin using IR Thermography

Alaabedin,

Hamza,

Abdual-Majeed

et al. 2023

Al-Mustansiriyah Journal of Science

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The aim of the research is the infrared imaging technique IR Imaging was used to detect temperature changes and their effects on the skin.In this study, ZnO nanoparticles (ZnO NPs) were prepared by Green's synthesis method. This method is considered the safest, easiest, and cheapest way to manufacture nanomaterials. The optical and structural properties of ZnO NPs have been studied by various techniques such as UV visible, X-ray diffraction, Field emission scanning electron microscopy, and Transmission electron microscopy. ZnO NPs had a UV- visible absorption peak at around 300 nm. ZnO's average crystallite diameter was calculated to be 15.41 nm using Scherrer's equation, which was derived from the width at half maximum of the peak more intense on the 101 planes at 36.28°. The Field emission scanning electron microscopy data showed that the synthesized ZnO NPs have a consistent shape and size throughout their range, these NPs are characterized by their diameter and were assembled into cylindrical clusters of varying diameters, with an average size of 106. Different magnifications of the ZnO NPs examined by Transmission electron microscopy showed that the majority of the particles were homogeneously scattered. Infrared thermal imaging technique (IRT) is used to clarify the change in temperature with the effect of the substance on the skin. The material was placed on the skin in two ways and put on the rabbit's front and back feet. When mixing the powder material of ZnO NPs with distilled water, and mixing the powder material of ZnO NPs with commercial Vaseline, we notice in both cases a temperature rise. The radiance was calculated for each image related to the change of temperature in the band (3-5) µm. The highest value in the range (3-5) µm for image R2 with radiation was (0.9209). The total spectral radioactive emission is proportional to the area under the curves and shifts towards shorter wavelengths with increasing temperature.

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Section: Introductionmentioning

confidence: 99%

Green Synthesis of Zinc Oxide Nanoparticles to Study its Effect on the Skin using IR Thermography

Alaabedin,

Hamza,

Abdual-Majeed

et al. 2023

Al-Mustansiriyah Journal of Science

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“…They can also be used to conduct nondestructive testing of materials [20][21][22][23][24][25][26][27], determine their thermal physical characteristics (TPC) [28][29][30][31], and determine the degree of corrosive damage [32]. Thermography is also used successfully for monitoring natural objects in the environment [33], biomedical research and noninvasive diagnosis of various human diseases [9,34,35], and in sports science [36].…”

Section: Introductionmentioning

confidence: 99%

Temperature Diffusivity Measurement and Nondestructive Testing Requiring No Extensive Sample Preparation and Using Stepwise Point Heating and IR Thermography

Golovin¹,

Divin²,

Samodurov³

et al. 2019

Failure Analysis

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This chapter describes a modification to the laser flash method that allows determining temperature diffusivity and nondestructive testing of materials and constructions without cutting samples of predefined geometry. Stepwise local heating of the studied object surface at a small spot around 0.1 mm radius with simultaneous high temporary-spatial resolution infrared (IR) filming of the transient temperature distribution evolution with a thermal camera provides a wide range of possibilities for material characterization and sample testing. In case of isotropic and macroscopic homogeneous materials, the resulting transient temperature distribution is radially symmetric that renders possible to improve temperature measurement accuracy by averaging many pixels of the IR images located at the same distance from the heating spot center. The temperature diffusivity measurement can be conducted either on thin plates or on massive samples. The developed emissivity independent in plain IR thermographic method and mathematical algorithms enable thermal diffusivity measurement for both cases with accuracy around a few per cent for a wide range of materials starting from refractory ceramics to well-conducting metals. To detect defects, the differential algorithm was used. Subtracting averaged radial symmetric temperature distribution from the original one for each frame makes local inhomogeneities in the sample under study clearly discernible. When applied to crack detection in plates, the technique demonstrates good sensitivity to part-through cracks located both at the visible and invisible sides of the studied object.

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A Clustering Approach for Prediction of Diabetic Foot Using Thermal Images

Filipe

Teixeira

Teixeira³

2020

Computational Science and Its Applications – ICCSA 2020

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Diabetes Mellitus (DM) is one of the most predominant diseases in the world, causing a high number of deaths. Diabetic foot is one of the main complications observed in diabetic patients, which can lead to the development of ulcers. As the risk of ulceration is directly linked to an increase of the temperature in the plantar region, several studies use thermography as a method for automatic identification of problems in diabetic foot. As the distribution of plantar temperature of diabetic patients do not follow a specific pattern, it is difficult to measure temperature changes and, therefore, there is an interest in the development of methods that allow the detection of these abnormal changes. The objective of this work is to develop a methodology that uses thermograms of the feet of diabetic and healthy individuals and analyzes the thermal changes diversity in the plantar region, classifying each foot as belonging to a DM or a healthy individual. Based on the concept of clustering, a binary classifier to predict diabetic foot is presented; both a quantitative indicator and a classification thresholder (evaluated and validated by several performance metrics) are presented. To measure the binary classifier performance, experiments were conducted on a public dataset (with 122 images of DM individuals and 45 of healthy ones), being obtained the following metrics: Sensitivity = 0.73, Fmeasure = 0.81 and AUC = 0.84.

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Infrared Thermography

Cited by 7 publications

References 69 publications

Green Synthesis of Zinc Oxide Nanoparticles to Study its Effect on the Skin using IR Thermography

Green Synthesis of Zinc Oxide Nanoparticles to Study its Effect on the Skin using IR Thermography

Temperature Diffusivity Measurement and Nondestructive Testing Requiring No Extensive Sample Preparation and Using Stepwise Point Heating and IR Thermography

A Clustering Approach for Prediction of Diabetic Foot Using Thermal Images

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