Heat transfer inside the tissues with a supplying vessel for the case when metabolic heat generation and blood perfusion are temperature dependent

1999 ◽  
Vol 35 (4) ◽  
pp. 345-350 ◽  
Author(s):  
K. N. Rai ◽  
S. K. Rai
Keyword(s):  
Heat Transfer ◽  
Heat Generation ◽  
Blood Perfusion ◽  
Temperature Dependent ◽  
Metabolic Heat ◽  
Metabolic Heat Generation

Estimation of Blood Perfusion and Metabolic Heat Generation of Lung Tumor During Cryosurgery

2018 ◽  
Author(s):  
Haile Baye Kassahun ◽  
Henok Tadesse Moges ◽  
Amanuel Shigut Dinsa ◽  
Wubshet Shimels Negussie ◽  
Okebiorun Michael Oluwaseyi ◽  
...  
Keyword(s):  
Heat Generation ◽  
Lung Tumor ◽  
Blood Perfusion ◽  
Metabolic Heat ◽  
Metabolic Heat Generation

Combined Solution of the Inverse Stefan Problem for Successive Freezing/Thawing in Nonideal Biological Tissues

1997 ◽  
Vol 119 (2) ◽  
pp. 146-152 ◽  
Author(s):  
Y. Rabin ◽  
A. Shitzer
Keyword(s):  
Phase Transition ◽  
Heat Generation ◽  
Thermal Effects ◽  
Blood Perfusion ◽  
Biological Tissues ◽  
Initial Condition ◽  
Freezing Front ◽  
Metabolic Heat ◽  
Metabolic Heat Generation ◽  
Combined Solution

A new combined solution of the one-dimensional inverse Stefan problem in biological tissues is presented. The tissue is assumed to be a nonideal material in which phase transition occurs over a temperature range. The solution includes the thermal effects of blood perfusion and metabolic heat generation. The analysis combines a heat balance integral solution in the frozen region and a numerical enthalpy-based solution approach in the unfrozen region. The subregion of phase transition is included in the unfrozen region. Thermal effects of blood perfusion and metabolic heat generation are assumed to be temperature dependent and present in the unfrozen region only. An arbitrary initial condition is assumed that renders the solution useful for cryosurgical applications employing repeated freezing/thawing cycles. Very good agreement is obtained between the combined and an exact solution of a similar problem with constant thermophysical properties and a uniform initial condition. The solution indicated that blood perfusion does not appreciably affect either the shape of the temperature forcing function on the cryoprobe or the location and depth of penetration of the freezing front in peripheral tissues. It does, however, have a major influence on the freezing/thawing cycle duration, which is most pronounced during the thawing stage. The cooling rate imposed at the freezing front also has a major inverse effect on the duration of the freezing/thawing.

scholarly journals Modelling and investigation of temperature field in the boundary layer of biological bodies

2017 ◽  
pp. 90-99
Author(s):  
Bogdan Khapko
Keyword(s):  
Boundary Layer ◽  
Integral Equation ◽  
Temperature Field ◽  
Temperature Distribution ◽  
Heat Generation ◽  
Transfer Problem ◽  
Blood Perfusion ◽  
Metabolic Heat ◽  
Metabolic Heat Generation ◽  
Equation Analysis

A problem on finding temperature field in the boundary layer of biological body when blood perfusion coefficient depends on coordinate is solved. Temperature distribution is caused by the temperature differences between the inside and outside of a body and by the outside heat sources and metabolic heat generation. Heat transfer problem is formulated by using generalized Heaviside functions. Applying the variation of constants method this problem is reduced to the Fredholm integral equation of the second kind. Numerical method of Simpson quadratures was used to solve integral equation. Analysis of temperature distribution in the boundary layer for some cases of boundary conditions is performed. Dependence on temperature inside body from metabolic heat generation and outside heat source is analyzed.

Effect of Physiological Parameters on the Temperature Distribution of a Layered Head Model

2002 ◽  
Author(s):  
Obdulia Ley ◽  
Yildiz Bayazitoglu
Keyword(s):  
Blood Flow ◽  
Temperature Distribution ◽  
Heat Generation ◽  
Brain Temperature ◽  
Blood Perfusion ◽  
Physiological Parameters ◽  
Head Model ◽  
Metabolic Heat ◽  
Metabolic Heat Generation ◽  
The Brain

Brain temperature control is important in clinical therapy, because moderate temperature reduction of brain temperature increases the survival rate after head trauma. A factor that affects the brain temperature distribution is the cerebral blood flow, which is controlled by autoregulatory mechanisms. To improve the existing thermal models of brain, we incorporate the effect of the temperature over the metabolic heat generation, and the regulatory processes that control the cerebral blood perfusion and depend on physiological parameters like, the mean arterial blood pressure, the partial pressure of oxygen, the partial pressure of carbon dioxide, and the cerebral metabolic rate of oxygen consumption. The introduction of these parameters in a thermal model gives information about how specific conditions, such as brain edema, hypoxia, hypercapnia, or hypotension, affect the temperature distribution within the brain. Existing biological thermal models of the human brain, assume constant blood perfusion, and neglect metabolic heat generation or consider it constant, which is a valid assumption for healthy tissue. But during sickness, trauma or under the effect of drugs like anesthetics, the metabolic activity and organ blood flow vary considerably, and such variations must be accounted for in order to achieve accurate thermal modeling. Our work, on a layered head model, shows that variations of the physiological parameters have profound effect on the temperature gradients within the head.

Estimation of the kidney metabolic heat generation rate

2019 ◽  
Vol 35 (9) ◽  
Author(s):  
Helcio R.B. Orlande ◽  
Nelson Afonso Lutaif ◽  
José Antonio Rocha Gontijo
Keyword(s):  
Heat Generation ◽  
Generation Rate ◽  
Heat Generation Rate ◽  
Metabolic Heat ◽  
Metabolic Heat Generation

Steady-state temperature distribution in man

1961 ◽  
Vol 16 (4) ◽  
pp. 734-740 ◽  
Author(s):  
Eugene H. Wissler
Keyword(s):  
Heat Transfer ◽  
Mathematical Model ◽  
Steady State ◽  
Transfer System ◽  
Metabolic Heat ◽  
Metabolic Heat Generation ◽  
Steady State Temperature ◽  
Flowing Blood ◽  
Heat Transfer System ◽  
Arteries And Veins

A steady-state, mathematical model for the human heat transfer system has been developed. This model includes the following factors: a) the distribution of metabolic heat generation, b) conduction of heat in tissue, c) convection of heat by flowing blood, d) loss of heat by radiation, convection and evaporation at the surface, e) loss of heat through the respiratory tract, and f), countercurrent heat exchange between large arteries and veins. Computed results were compared with experimental results for the nude basal man and found to be satisfactory. Submitted on August 1, 1960

TEMPERATURE DISTRIBUTION AND THERMAL DAMAGE OF PERIPHERAL TISSUE IN HUMAN LIMBS DURING HEAT STRESS: A MATHEMATICAL MODEL

2016 ◽  
Vol 16 (05) ◽  
pp. 1650064 ◽  
Author(s):  
MIR AIJAZ ◽  
M. A. KHANDAY
Keyword(s):  
Finite Element ◽  
Temperature Distribution ◽  
Heat Generation ◽  
Thermal Damage ◽  
Subcutaneous Tissue ◽  
The Body ◽  
Bioheat Equation ◽  
Metabolic Heat ◽  
Metabolic Heat Generation ◽  
Living Tissues

The physiological processes taking place in human body are disturbed by the abnormal changes in climate. The changes in environmental temperature are not effective only to compete with thermal stability of the system but also in the development of thermal injuries at the skin surfaces. Therefore, it is of great importance to estimate the temperature distribution and thermal damage in human peripherals at extreme temperatures. In this paper, the epidermis, dermis and subcutaneous tissue were modeled as uniform elements with distinct thermal properties. The bioheat equation with appropriate boundary conditions has been used to estimate the temperature profiles at the nodal points of the skin and subcutaneous tissue with variable ambient heat and metabolic activities. The model has been solved by variational finite element method and the results of the changes in temperature distribution of the body and the damage to the exposed living tissues has been interpreted graphically in relation with various atmospheric temperatures and rate of metabolic heat generation. By involving the metabolic heat generation term in bioheat equation and using the finite element approach the results obtained in this paper are more reasonable and appropriate than the results developed by Moritz and Henriques, Diller and Hayes, and Jiang et al.

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