Converting far infrared image information to other physiological data

Fujimasa, Iwao; Chinzei, Tsuneo; Saito, Ikuo

doi:10.1109/51.844383

Cited by 60 publications

(28 citation statements)

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“…Drafts from windows or doors and strong spotlights might have a significant effect on thermographic images [8], especially if the room in question is small. Converting a thermographic image into other physiological function images, or properly interpreting them, requires the elimination of environmental influences and variations [6]. The veterinarian interpreting the thermographic images should also have a strong knowledge of the anatomy and physiology of the animal being imaged.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Three Thermal Cameras with Canine Hip Area Thermographic Images

et al. 2012

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ABSTRACT. The objective of this study was to compare the method of thermography by using three different resolution thermal cameras and basic software for thermographic images, separating the two persons taking the thermographic images (thermographers) from the three persons interpreting the thermographic images (interpreters). This was accomplished by studying the repeatability between thermographers and interpreters. Forty-nine client-owned dogs of 26 breeds were enrolled in the study. The thermal cameras used were of different resolutions-80 × 80, 180 × 180 and 320 × 240 pixels. Two trained thermographers took thermographic images of the hip area in all dogs using all three cameras. A total of six thermographic images per dog were taken. The thermographic images were analyzed using appropriate computer software, FLIR QuickReport 2.1. Three trained interpreters independently evaluated the mean temperatures of hip joint areas of the six thermographic images for each dog. The repeatability between thermographers was >0.975 with the two higherresolution cameras and 0.927 with the lowest resolution camera. The repeatability between interpreters was >0.97 with each camera. Thus, the between-interpreter variation was small. The repeatability between thermographers and interpreters was considered high enough to encourage further studies with thermographic imaging in dogs. Thermography (also known as infrared thermography and infrared imaging) is a noninvasive and safe method of detecting changes in superficial temperature in animals [15,16,23,28] and humans [20,26]. A change in superficial temperature may be an indicator of several illnesses and pain [10,13]. Although this method could be useful as a diagnostic tool in everyday veterinary medicine, its clinical utility has rarely been studied, especially in small animals. In recent years, the technology of the cameras has improved, prices have gone down and the equipment has become easy to transport, which makes bedside use feasible.The normal temperature of an area of the body is a product of cell metabolism and local blood flow [9]. Inflammation in subcutaneous and deeper tissues can be reflected by superficial tissue temperature changes of ≥1°C. In the inflammatory process, skin temperature rises due to changes in the diameter of blood vessels and the rate of blood flow as well as increased capillary permeability, which can be seen with thermography [29,30]. The human hand and fingers can detect a ≥2°C difference in temperature on a patient's skin [11], whereas modern infrared cameras have been claimed to be more than 10 times more sensitive in detecting temperature changes. Thermography can be used to detect changes in peripheral blood flow from the resulting changes in heat loss [25].The objective of this study was to compare three different resolution thermal cameras in investigating the amount of variance caused by thermographers and interpreters of thermal camera images (thermographic images). In addition, we visually observed the appearance of varying hair c...

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Section: Discussionmentioning

confidence: 99%

Comparison of Three Thermal Cameras with Canine Hip Area Thermographic Images

et al. 2012

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“…This leads to deriving the blood perfusion from the proposed skin heat transfer (SHT) model in this paper, based on one thermogram, and this is a static processing similar to the work in Refs. [16,20].…”

Section: Introductionmentioning

confidence: 99%

Skin heat transfer model of facial thermograms and its application in face recognition

Wang

Xie

2008

Pattern Recognition

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“…By following similar development to the one reported elsewhere 4 and after assuming that the metabolic heat factor is negligible, we obtain the following heat transfer equation:…”

Section: From Raw Thermal Data To Blood Flow Rate Datamentioning

confidence: 93%

Lie detection using thermal imaging

Pavlidis

2004

SPIE Proceedings

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In the present paper we describe a novel method for scoring polygraph tests using thermal image analysis. Our method features three stages: image acquisition, physiological correlation, and pattern classification. First, we acquire facial thermal imagery using an accurate mid-infrared camera. Then, we transform the raw thermal data to blood flow rate data through heat transfer modeling. Finally, we classify the subject as deceptive or non-deceptive based on the nearest-neighbor classification method. We perform our analysis on the periorbital area of the subjects' faces. Our previous research 1,2 has indicated that the periorbital area is the facial area affected the most from blood flow redistribution during anxious states.We present promising experimental results from 18 subjects. We henceforth anticipate that thermal image analysis will play an increasingly important role in polygraph testing as an additional scoring channel. Our ultimate objective is to increase the accuracy and reliability of polygraph testing through the fusion of traditional invasive 1D physiological measurements with novel non-invasive 2D physiological measurements.

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Converting far infrared image information to other physiological data

Cited by 60 publications

References 0 publications

Comparison of Three Thermal Cameras with Canine Hip Area Thermographic Images

Comparison of Three Thermal Cameras with Canine Hip Area Thermographic Images

Skin heat transfer model of facial thermograms and its application in face recognition

Lie detection using thermal imaging

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