Cross-correlation based movement correction method for biomedical dynamic infrared imaging

Strąkowska, M.; Strąkowski, R.; Więcek, B.; Strzelecki, Michał

doi:10.21611/qirt.2012.223

Cited by 8 publications

(7 citation statements)

References 13 publications

(17 reference statements)

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“…A final post-processing step involved developing a tool able to remove movements from a selected ZOI. Such movement removal correction has widely been implemented in vision systems but few examples are available for thermal images [31].…”

Section: : Movement Removalmentioning

confidence: 99%

Proposal for a protocol using an infrared microbolometer camera and wavelet analysis to study foot thermoregulation

Serantoni

Jourdan

Louche

et al. 2019

Quantitative InfraRed Thermography Journal

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Here we propose a protocol to: (i) generate skin temperature (SkT) oscillations on glabrous tissues (plantar foot) in healthy subjects under controlled clinical environment conditions; (ii) measure quantitative temperature fields with an inexpensive microbolometer 2 (MB) infrared camera in a clinical environment; and (iii) quantify the characteristics of skin temperature (SkT) oscillations through spectral analysis. We paid particular attention to the metrology of thermal measurements, with a special bench, including four homemade black body reference areas. We propose a live calibration procedure using this setup while correcting the thermal drift. After all of these correction steps, the experimental thermal resolution () for the temporal variation in each pixel was about 25. Finally, a movement removal procedure was also applied to the thermal images to avoid foot spatial movement over the 10 min observation period. Thermoregulation was stimulated by a 6-min walking exercise test on six volunteers and was then studied using three kinds of scalar indicators evaluated before and after exercise per thermal image pixel. We demonstrated that the 6-min walk exercise increased the thermoregulation activity beneath the plantar foot sole. Moreover, unlike manually placed local thermal probes, the indicator fields proposed in this paper allow the operator to select the exact thermoregulation activation locations and analyse the spatial distribution patterns at these locations.

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Section: : Movement Removalmentioning

confidence: 99%

Proposal for a protocol using an infrared microbolometer camera and wavelet analysis to study foot thermoregulation

Serantoni

Jourdan

Louche

et al. 2019

Quantitative InfraRed Thermography Journal

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“…After thermogram acquisition, the first step is the movement correction. It is a necessary step in the measurement of a patient's skin temperature, as the recording lasts several minutes, during which patients breathe and slightly [16] move. Temperature change is examined for every point of the area under thermal stimulation.…”

Section: Developed Softwarementioning

confidence: 99%

“…The movement correction is based on the cross-correlation method [16]. The method localizes the template image in the base image.…”

Section: Developed Softwarementioning

confidence: 99%

Cold Provocation and Active Thermography in Medical Screening

Strzelecki

Strąkowska

Strąkowski

et al. 2017

CMST

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This paper presents application of active thermography as a tool for supporting diagnosis of selected dermatological diseases. The cold stress method is used to stimulate human skin and to measure its temperature change in time. Image and data processing techniques are applied to calculate response parameters and plot their spatial distributions (maps). The proposed technique was applied to estimate differences between healthy and unhealthy tissue for patients with psoriasis. Another application concerns detection of regions characterized by different vascularization under the skin. Obtained preliminary results are promising. It was demonstrated that the developed method, after further testing, can be a useful tool to improve the standard diagnostic procedures.

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“…Because the measurement had to be performed for the same Region of Interest (ROI) for each frame, a person's motion was compensated by software means. The movement correction method based on cross-correlation has been already presented in [20]. A sample of reference ROI for the movement correction algorithm is shown in Fig.…”

Section: Thermographic Measurementmentioning

confidence: 99%

Evaluation of Perfusion and Thermal Parameters of Skin Tissue Using Cold Provocation and Thermographic Measurements

Strąkowska¹,

Strąkowski²,

Strzelecki³

et al. 2016

Metrology and Measurement Systems

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Measurement of the perfusion coefficient and thermal parameters of skin tissue using dynamic thermography is presented in this paper. A novel approach based on cold provocation and thermal modelling of skin tissue is presented. The measurement was performed on a person's forearm using a special cooling device equipped with the Peltier module. The proposed method first cools the skin, and then measures the changes of its temperature matching the measurement results with a heat transfer model to estimate the skin perfusion and other thermal parameters. In order to assess correctness of the proposed approach, the uncertainty analysis was performed.

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Cross-correlation based movement correction method for biomedical dynamic infrared imaging

Cited by 8 publications

References 13 publications

Proposal for a protocol using an infrared microbolometer camera and wavelet analysis to study foot thermoregulation

Proposal for a protocol using an infrared microbolometer camera and wavelet analysis to study foot thermoregulation

Cold Provocation and Active Thermography in Medical Screening

Evaluation of Perfusion and Thermal Parameters of Skin Tissue Using Cold Provocation and Thermographic Measurements

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