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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.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
373--381
Opis fizyczny
Bibliogr. 28 poz., rys., tab., wykr., wzory
Twórcy
autor
- Lodz University of Technology, Faculty of Electrical, Electronic, Computer and Control Engineering, Wólczańska 211/215, 90-924 Łódź, Poland
autor
- Lodz University of Technology, Faculty of Electrical, Electronic, Computer and Control Engineering, Wólczańska 211/215, 90-924 Łódź, Poland
autor
- Lodz University of Technology, Faculty of Electrical, Electronic, Computer and Control Engineering, Wólczańska 211/215, 90-924 Łódź, Poland
autor
- University of Gent, Department of Electronics and Information Systems, B-9000 Gent, Sint Pieternieuwstraat 41, Belgium
autor
- Lodz University of Technology, Faculty of Electrical, Electronic, Computer and Control Engineering, Wólczańska 211/215, 90-924 Łódź, Poland
Bibliografia
- [1] Pennes, H.H. (1948). Analysis of tissue and arterial blood temperatures in the resting human forearm. Journal of Applied Physiology, 1(2), 93-122.
- [2] Chen, M.M., Holmes, K.R. (1980). Microvascular Contributions in Tissue Heat Transfer. Annals of the New York Academy of Sciences, 335(1), 137-150.
- [3] Wulff, W. (1974). The Energy Conservation Equation for Living Tissues. IEEE Transactions-Biomedical Engineering, 21(6), 494-495.
- [4] Cho, Y.I. (1992). Bioengineering Heat Transfer. Advances in Heat Transfer, Hartnett, J.P., Irvine, T.F. (ed.), Academic Press Inc, San Diego, USA.
- [5] Weinbaum, S., Jiji, L.M., Lemons, D.E. (1984) Theory and experiment for the effect of vascular microstructure on surface tissue heat transfer. Part I. Anatomical foundation and model conceptualization. ASME Journal of Biomechanical Engineering, 106(4), 321-330.
- [6] Weinbaum, S., Jiji, L.M. (1985). A new simplified bioheat equation for the effect of blood flow on local average tissue temperature. ASME Journal of Biomechanical Engineering, 107(2), 131-139.
- [7] Minkowycz, W.J., Sparrow, E.M., Abraham, J.P. (2009). Advances in Numerical Heat Transfer: Vol. 3. CRC Press, Boca Raton, USA.
- [8] Zolfaghari, A., Maerefat, M. (2010). A New Simplified Thermoregulatory Bioheat Model for Evaluating Thermal Response of the Human Body to Transient Environmen. Building and Environment, 45(10), 2068-2076.
- [9] Zolfaghari, A., Maerefat, M. (2011). Bioheat transfer. Developments in heat transfer, Dos Santos Bernardes, M.A. (ed.), InTech.
- [10] Jasiński, M. (2008). Modelling of 1D bioheat transfer with perfusion coefficient dependent on tissue necrosis. ScientificResearch of the Institute of Mathematics and Computer Science, Czestochowa University of Technology, 7(1), 57-62.
- [11] Khanafer, K., Vafai, K. (2009). Synthesis of mathematical models representing bioheat transport. Advances in Numerical Heat Transfer, CRC Press, New York, Chap. 1, 1-28.
- [12] Ng, E.Y.K., Tan, H.M., Ooi, E.H. (2009). Boundary element method with bioheat equation for skin burn injury. Burns, 35(7), 987-997.
- [13] Strakowska, M., De Mey, G., Wiecek B., Strzelecki, M. (2015). A three layer model for the thermal impedance of the human skin: modelling and experimental measurements. Journal of Mechanics in Medicine and Biolog, 15(4).
- [14] Strakowska, M., Strzelecki, M., Kaszuba, A. (2014). Novel methodology of medical screening using IR thermography. SPA 2014. Signal Processing. Algorithms, Architecture, Arrangements, and Applicatiuons. Conference proceedings, 172-175.
- [15] Strakowska, M., Kaszuba, A., Wiecek, B., Strzelecki, M. De Mey, G. (2015). System and software for thermal images screening in medicine - application to psoriasis. Quantitative InfraRed Thermography, 12(2), 127-136.
- [16] Nowakowski, A., Kaczmarek, M. (2011). Active Dynamic Thermography - Problems of implementation in medical diagnostics. Quantitative InfraRed Thermography Journal, 8(1), 89-106.
- [17] Yue, K., Zhang, X., Yu, F. (2004). An Analytic Solution of One-dimensional Steady-state Pennes’ Bioheat Transfer Equation in Cylindrical Coordinates. J. of Thermal Science, 13(3), 255-258.
- [18] Shih, T.C., Yuan, P., Lin, W.L., Kou, H.S. (2007). Analytical analysis of the Pennes bioheat transfer equation with sinusoidal heat flux condition on skin surface. Medical Engineering & Physics, 29(9), 946-953.
- [19] Souza, C.F.L., Souza, M.V.C., Colac, M.J., Caldeira, A.B., Scofano Neto, F. (2014). Inverse determination of blood perfusion coefficient by using different deterministic and heuristic techniques. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 36(1), 193-206.
- [20] Strakowska, M, Strakowski, R., Wiecek, B., Strzelecki, M. (2012). Cross-correlation based movement correction method for biomedical dynamic infrared imaging. Proc. of the 11th International Conference on Quantitative InfraRed Thermography, Naples, Italy.
- [21] Hooke, R., Jeeves, T.A. (1961). Direct search solution of numerical and statistical problems. Journal of the Association for Computing Machinery (ACM), 8(2), 212-229.
- [22] Chinneck, J.W. (2009). Practical Optimization: A Gentle Introduction. Carleton University, Canada.
- [23] Gowrishankar, T.R., Stewart, D.A, Gregory, M.T., Weaver, J.C. (2004). Transport lattice models of heat transport in skin with spatially heterogeneous, temperature-dependent perfusion. Biomedical Engineering Online, 3, 42.
- [24] Jiang, S.C., Ma, N., Li, H.J., Zhang, X.X. (2002). Effects of thermal properties and geometrical dimensions on skin burn injuries. Burns, 28(8), 713-717.
- [25] Evaluation of measurement data − Guide to the expression of uncertainty in measurement, JCGM 100:2008.
- [26] Pacholski, K., Wiecek, B. (2015). Practical assessment of accuracy of thermographic indirect measurements. Measurement Automation Monitoring, 61(6), 278-281.
- [27] Jakubowska, T., Wiecek, B., Wysocki, M., Drews-Peszynski, C., Strzelecki, M. (2004). Classification of breast thermal images using artificial neural networks. Proc. of 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 26, 1155-1158
- [28] Gill, P. (2013). The critical evaluation of laser Doppler imaging in determining burn depth. International Journal Burns Trauma, 3(2), 72-77.
Uwagi
EN
This work was supported by the National Science Centre Poland (project number DEC-2013/11/20 N/ST7/02630).
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
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