Issue 2 (196), article 4

DOI:https://doi.org/10.15407/kvt196.02.059

Cybernetics and Computer Engineering, 2019, 2 (196), pp. 59-79

Shlykov V.V.1, PhD (Engineering), Associate professor,
Department of Biomedical Engineering
e-mail: v.shlykov@kpi.ua

Maksymenko V.B.2, DSc (Medicine), Professor,
Deputy Director for research
e-mail: maksymenko.vitaliy@gmail.com

1National Technical University of Ukraine
“Igor Sikorsky Kyiv Polytechnic Institute”
37, Peremogy av., Kyiv, Ukraine, 03056

2Amosov National Institute of Cardiovascular Surgery
6, Amosova str., Kyiv, Ukraine, 03038

THE METHOD OF DETERMINING CONDUCTIBILITY FOR CORONARY VESSELS BY TERMOGRAPHY

Introduction. The character of the distribution of temperature in the heart is determined by the process of heat exchange between the myocardium and coronary vessels, as well as the state of microhemodynamics of the coronary vessels of the heart. For quantitative estimation of changes in temperature distribution on the surface of the heart, the algorithm for calculating a quantitative criterion, that may be an objective marker for effective protection of the heart and brain, is proposed. The method of determining the conductibity of coronary vessels is implemented on the basis of the algorithm for determining the thermal contours, calculated from the gradients of the temperature field on the image of the heart in the infrared spectrum. The improvement of the previously developed method for determining the thermal contours on the basis of Canny’s algorithm consists in the transition from qualitative to quantitative assessment of the rate of change in temperature on the surface of the myocardium.

The purpose of this study is to evaluate the conductibity of coronary vessels for the study of blood flow in the surface layer of the myocardium during warming up and cooling of the heart in conditions of cardiopulmonary bypass.

Results. The numerical value of the quantitative criterion obtained is calculated by determining the difference in temperature between the blood and the myocardium, calculated as the difference between the geometric areas under the temperature distribution curves in the temperature field equation for the constant and the current fluxing temperature. The contouring method for determining the conductibity of coronary vessels allows to select areas on the surface of the myocardium, in which the change in temperature significantly lags behind the average temperature on the surface during warming or cooling of the heart, which indirectly allows evaluating the state of small coronary vessels in the myocardium.

Conclusions. The method for determining the conductivity of coronary vessels for the study of blood flow in the surface layer of the myocardium are proposed, which allowed to allocation contours of sites on the surface of the myocardium with uneven distribution of temperature during warming up and cooling of the heart. Scientific novelty of the method consists in the allocation of thermal contours of sites in which the temperature change significantly lags behind the average temperature on the surface during warming up or cooling of the heart.

Keywords: mathematical modelling, the algorithm of detector Canny, heart temperature, temperature profiles, hypothermia, hyperthermia, cardiopulmonary bypass.

Download full text!

REFERENCES

1 Nicholas A., Diakides B., Joseph D., Bronzino A. Medical Infrared imaging. London: RC Press Taylor Group LLC, 2008. 451 p. https://doi.org/10.1201/9781420008340

2 Kotovskyi V., Shlykov V et al. The IR-thermal imaging method for evaluation of the status of myocardial coronary vessels under the condition of artificial blood circulation. Technology and Health Care, 2018, vol. Pre-press, No. Pre-press. P. 1-6. https://doi.org/10.3233/THC-182504

3 Maksymenko V., Danilova V., Shlykov V. The discrete model for the system of the myocardium and coronary vessels. In 3rd Conference “Approximation Methods for Molecular Modelling and Diagnosis Tools”, Kyiv, “Igor Sikorsky Kyiv Polytechnic Institute”, January 26-30, 2017. P. 3. (in Ukrainian)

4 Shlykov V., Danilova V., Maksymenko V. Heat transfer model based on thermographic imaging of the heart in open chest conditions. In 17th European Congress on Extracorporeal Circulation Technology, June, 14-17th, Marseille, France, 2017. P. 57.

5 Maksymenko V.B., Danilova V.A., Shlykov V.V. The Discrete Model for the System of the Myocardium and Coronary Vessels. Scientific news of NTUU “KPI”, 2007, No 1. P. 54-60. (in Ukrainian) https://doi.org/10.20535/1810-0546.2017.1.90044

6 Shlykov V, Danilova V., Maksymenko V. The Model of the Myocardium in the MSC Sinda System. Cardiology and Cardiovascular Research, 2017, Vol. 1, Iss. 2, P. 18-22.

7 Shlykov V., Danilova V., Maksymenko V. Numerical model for heat transfer based on thermographic imaging of the heart. Standartizatsiya, sertificatsiya, yakist, 2017, No. No4(107). P. 62-68. (in Ukrainian)

8 Shlykov V., Danilova V., Maksymenko V., Sychyk M. Application of Model of Heat Exchange for Myocardium Provided Stationary Convection Laminar Flow. Journal of Cardiology & Current Research. 2017. P. 311-313.

9 Chen J.S., Huertas A., Medioni G. Fast convolution with Laplacian-of-Gaussian masks. IEEE Transactions of Pattern Analysis and Machine Intelligence. 1987. Vol. 9, Iss. 4. P. 584-590. doi: 10.1109/tpami.1987.4767946 https://doi.org/10.1109/TPAMI.1987.4767946

10 John H., Lienhard I.V., Lienhard V.A. Heat Transfer Textbook. 4th ed., Cambridge, MA: Phlogiston Press. 2017. 768 P.

11 MSC Sinda 2017. User’s Guide. Docs ID DOC11364. MSC Software Corporation. 2017. 451 P.

12 Kelly T. Thermal Analysis Kit III Manual . K&K Associates, Version 97.003. 1997. 23 P.

13 Thermal Network Modeling Handbook. K&K Associates, Developers of Thermal Analysis Kit, Version 97.003. 2000. 29 P.

14 Sharif M., Mohsin S. Single Image Face Recognition Using Laplacian of Gaussian and Discrete Cosine Transforms. The International Arab Journal of Information Technology. 2012. Vol. 9, Iss. 6. P. 562-570.

15 Canny J. A computational approach to edge detection. IEEE Transactions on pattern analysis and machine intelligence. 1986. Vol. 8, Iss. 6. P. 679-698. doi: 10.1109/tpami.1986.4767851 https://doi.org/10.1109/TPAMI.1986.4767851

16 Khudetskyy I.U., Danilova V.A., Shlykov V.V. Use of Thermal Imaging for Control of the Process Hypothermia Cardiac. The Polish Journal of Applied Sciences, Lomza State University of Applied Sciences, 2015. P. 93-96

17 Kotovskiy V.I., Shlykov V.V., Danilova V.A. The Method of Processing Thermographic Images for the Open Heart. Young Scientist USA, 2017, Vol. 7. P. 1.3-3.3

18 Shlykov V. The propagation of the temperature waves in myocardium. EUREKA: Physics and Engineering, 2018, No2. P. 52-62. https://doi.org/10.21303/2461-4262.2018.00580

19 Bin Jing, Haiyun Li. A Novel Thermal Measurement for Heart Rate. Journal of Computers, Vol. 8, No. 9, September. Academy Publisher, 2013. pp. 2163-2166. https://doi.org/10.4304/jcp.8.9.2163-2166

20 Buckberg G.D., Brazier J.R., Nelson R.L., et al. Studies of the effects of hypothermia on regional myocardial blood flow and metabolism during cardiopulmonary bypass. I. The adequately perfused beating, fibrillating, and arrested heart. J. Thorac. Cardiovasc. Surg. 1977; 73: 87-94.

21 Love T. J. Thermography as an indicator of blood perfusion. Annals of the New York Academy of Sciences. 1980.V. 335. No 1. P. 429-437. https://doi.org/10.1111/j.1749-6632.1980.tb50766.x

22 Gonzalez R. C., Woods R. E. Digital Image Processing [Electronic resource]. New Jerse: Prentice Hall, 2002. Available at: http://users.dcc.uchile.cl/~jsaavedr/libros/dip_gw.pdf

23 Stoica P., Moses R. Spectral analysis of signals. New Jerse: Prentice Hall, 2004. Available at: http://user.it.uu.se/~ps/SAS-new.pdf

24 Pavlidis T. Algorithms and Graphics and Image Processing. N.Y.: Springer, 1982. 320 P. https://doi.org/10.1007/978-3-642-93208-3

25 Chepurny M.M., Resident N.V. Heat exchange in examples and tasks: a manual. Vinnitsa: VNTU, 2011. 128 C. (in Ukrainian)

26 Gilchuk A.V., Khalatov A.A. Theory of Thermal Conductivity: Textbook. Kyiv: Igor Sikorsky Kyiv Polytechnic Institute, 2017. 93 P. (in Ukrainian)

Received 29.03.2019