Szczegóły

Tytuł artykułu

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

Tytuł czasopisma

Metrology and Measurement Systems

Rocznik

2016

Wolumin

vol. 23

Numer

No 3

Autorzy

Słowa kluczowe

active thermovision ; perfusion ; thermal model ; skin tissue ; measurement uncertainty

Wydział PAN

Nauki Techniczne

Zakres

373-381

Wydawca

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Data

2016.09.30

Typ

Artykuły / Articles

Identyfikator

DOI: 10.1515/mms-2016-0032 ; ISSN 2080-9050, e-ISSN 2300-1941

Źródło

Metrology and Measurement Systems; 2016; vol. 23; No 3; 373-381

Referencje

Souza (2014), Inverse determination of blood perfusion coefficient by using different deterministic and heuristic techniques of the Brazilian Society of Mechanical Sciences and, Journal Engineering, 36, 193. ; Chen (1980), Microvascular Contributions in Tissue Heat Transfer Annals of the New York Academy of, Sciences, 335, 137. ; Strakowska (2015), A three layer model for the thermal impedance of the human skin : modelling and experimental measurements of Mechanics in Medicine and Biolog, Journal, 15. ; Shih (2007), Analytical analysis of the Pennes bioheat transfer equation with sinusoidal heat flux condition on skin surface Medical Engineering &, Physics, 29, 946. ; Ng (2009), Boundary element method with bioheat equation for skin burn injury, Burns, 35, 987, doi.org/10.1016/j.burns.2009.01.010 ; Strakowska (2012), Cross - correlation based movement correction method for biomedical dynamic infrared imaging of the th International Conference on Quantitative InfraRed Thermography, Proc, 11. ; Yue (2004), An Analytic Solution of One - dimensional Steady - state Pennes Bioheat Transfer Equation in Cylindrical Coordinates of Thermal, Science, 13, 255. ; Hooke (1961), Direct search solution of numerical and statistical problems of the Association for Computing, Journal Machinery, 8, 212. ; Weinbaum (1985), A new simplified bioheat equation for the effect of blood flow on local average tissue temperature ASME Journal of Biomechanical, Engineering, 107, 131. ; Pennes (1948), Analysis of tissue and arterial blood temperatures in the resting human forearm of, Journal Applied Physiology, 1, 93. ; Gill (2013), The critical evaluation of laser Doppler imaging in determining burn depth, International Journal Burns Trauma, 3, 72. ; Wulff (1974), The Energy Conservation Equation for Living Tissues IEEE Transactions - Biomedical, Engineering, 21, 494. ; Weinbaum (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, 321. ; Jakubowska (2004), Classification of breast thermal images using artificial neural networks of th Annual International Conference of the IEEE Engineering in Medicine and Biology, Proc Society, 26, 1155. ; Strakowska (2014), Novel methodology of medical screening using IR thermography SPA Signal Processing Architecture Arrangements and Applicatiuons Conference proceedings, Algorithms, 172. ; Nowakowski (2011), Active Dynamic Thermography Problems of implementation in medical diagnostics Quantitative InfraRed Thermography, Journal, 8, 89. ; Zolfaghari (2011), Bioheat transfer Developments in heat transfer Dos ed, InTech. ; Jasiński (2008), Modelling of D bioheat transfer with perfusion coefficient dependent on tissue necrosis ScientificResearch of the Institute of Mathematics and Computer Czestochowa University of Technology, Science, 7, 1. ; Gowrishankar (2004), Transport lattice models of heat transport in skin with spatially heterogeneous temperature - dependent perfusion Engineering, Biomedical Online, 3, 42, doi.org/10.1186/1475-925X-3-42 ; Jiang (2002), Effects of thermal properties and geometrical dimensions on skin burn injuries, Burns, 28, 713, doi.org/10.1016/S0305-4179(02)00104-3
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