A high-resolution three-dimensional far-infrared thermal and true-color imaging system for medical applications

Cheng, Victor S.; Bai, Jinfen; Chen, Yazhu

doi:10.1016/j.medengphy.2009.07.016

Cited by 21 publications

(15 citation statements)

References 18 publications

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“…Thereby, HRIT offers the possibility to assess inflammation in a quantitative and objective manner, a progress compared to current methods to detect inflammation in parasitic skin diseases [14,[21][22][23]. Our findings corroborate previous observations showing that the area of inflamed skin due to a bacterial infection is much more precisely determined by HRIT than by visual inspection alone [24].…”

Section: Discussionsupporting

confidence: 88%

High-resolution infrared thermography: a new tool to assess tungiasis-associated inflammation of the skin

et al. 2017

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Section: Discussionsupporting

confidence: 88%

High-resolution infrared thermography: a new tool to assess tungiasis-associated inflammation of the skin

et al. 2017

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“…There is another application of 3D reconstruction using thermal images for detection of infection in the skin of 300 patients. To avoid too much human body surface information which is not very possible, there is an integration of 3D high resolution far-infrared FIR thermal images and true color imaging of the body surface has been used for 3D structural binocular profilemeter [74]. The research on jet fuels toxicity concerning skin damage measured by 900MHz skin microscopy has been done.…”

Section: D Analysismentioning

confidence: 99%

Automated assessment and tracking of human body thermal variations using unsupervised clustering

et al. 2016

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The presented approach addresses a review on the overheating which occurs during radiological examinations such as MRI and a series of thermal experiments to determine the thermal suitable fabric material which should be used for radiological gowns. Moreover, an automatic system for detecting and tracking of the thermal fluctuation is presented. It applies HSV based kernelled k-means clustering which initializes and controls the points which lie on the Region of Interest (ROI) boundary. Afterwards a particle filter tracks the targeted ROI during the video sequence independent to previous locations of the overheating spots. The proposed approach was tested during some experiments and under conditions very similar to those used during real radiology exams. Six subjects have voluntarily participated in these experiments. To simulate the hot spots occurring during the radiology, a controllable heat source was utilized near the subjects body. The results indicate promising accuracy for the proposed approach to track the hot spots. Some approximations were used regarding the * Bardia Yousefi, Xavier P.V. MaldagueEmail address: bardia.yousefi@ieee.org and Xavier.Maldague@gel.ulaval.ca. Tel: (+1)418-656-2962 (Bardia Yousefi, Julien Fleuret, Hai Zhang., Xavier P.V. Maldague ) Preprint submitted to Draft version of Applied OpticNovember 21, 2016 transmittance of the atmosphere and emissivity of the fabric could be neglected because of the independency of the proposed approach for these parameters.The approach can track the heating spots continuously and correctly, even for moving subjects, and provides considerable robustness against motion artifact, which usually occurs during most medical radiology procedures.

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“…The most common approach for 3D medical thermography involves using an active 3D scanner, based on the structured light approach with a thermal-infrared camera on a fixed tripod stand. [11][12][13][14] The second common approach of acquiring 3D thermal image is based on passive stereo imaging system on a stationary stand. [15][16][17] The 3D thermogram scanner comprises of a visible stereo camera to generate the 3D model of the object and utilizes the thermal-infrared camera to capture the temperature from skin surfaces.…”

Section: Related Workmentioning

confidence: 99%

3D medical thermography device

Moghadam

2015

SPIE Proceedings

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In this paper, a novel handheld 3D medical thermography system is introduced. The proposed system consists of a thermal-infrared camera, a color camera and a depth camera rigidly attached in close proximity and mounted on an ergonomic handle. As a practitioner holding the device smoothly moves it around the human body parts, the proposed system generates and builds up a precise 3D thermogram model by incorporating information from each new measurement in real-time. The data is acquired in motion, thus it provides multiple points of view. When processed, these multiple points of view are adaptively combined by taking into account the reliability of each individual measurement which can vary due to a variety of factors such as angle of incidence, distance between the device and the subject and environmental sensor data or other factors influencing a confidence of the thermal-infrared data when captured. Finally, several case studies are presented to support the usability and performance of the proposed system.

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A high-resolution three-dimensional far-infrared thermal and true-color imaging system for medical applications

Cited by 21 publications

References 18 publications

High-resolution infrared thermography: a new tool to assess tungiasis-associated inflammation of the skin

High-resolution infrared thermography: a new tool to assess tungiasis-associated inflammation of the skin

Automated assessment and tracking of human body thermal variations using unsupervised clustering

3D medical thermography device

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