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COBEM 2019

25th International Congress of Mechanical Engineering

Numerical Analysis of Temperature Field on a Surface of a Breast With a Tumor

Submission Author: José Ricardo Ferreira Oliveira , MG
Co-Authors: José Ricardo Ferreira Oliveira, Vinicius Soares, Guilherme Ramalho Costa, Jefferson Gomes do Nascimento, Alisson Figueiredo, Gilmar Guimaraes
Presenter: Guilherme Ramalho Costa

doi://10.26678/ABCM.COBEM2019.COB2019-0790

 

Abstract

Breast cancer is the one with the highest incidence and mortality rates among women in the world. A breast tumor can be detected by techniques such as mammography, magnetic resonance imaging, ultrasound and tomography. However, none of these are capable of characterizing mammary inclusions alone, and a combination is necessary to achieve this. Improvement of equipment and software have made thermographic images increasingly used to aid in the diagnosis of breast cancer, as well as being a non-invasive procedure and giving the patient greater comfort during the examination. A disadvantage found in modeling thermographic examinations is the need to know the thermophysical properties of living tissues. Techniques based on the concept of thermal impedance are very promising since it is necessary only prior knowledge of the heat flux applied to the breast surface and the thermal behavior of this surface after the application of the heat flux. The modeling is performed through Green’s Functions, and the solution of the temperature field is then analyzed in the frequency domain. In this work, the authors present a numerical analysis of the superficial thermal field of a 2D hemispherical geometry, after application of heat flow, for the cases with and without tumor in the breast. This procedure was made using COMSOL MULTIPHYSICS software. The study was carried out in two stages. In the first one, the behavior of the breast surface temperature field was evaluated through changes in the parameters: depth and tumor metabolic activity and convective heat transfer coefficient. In the second step, a factorial design was performed to evaluate the influence of depth and tumor metabolic activity on the field surface temperature domain. Results show the greater influence of the convective heat transfer coefficient, which tends to be dissipated over time, and also show that the tumor depth has a greater influence on the surface temperature than the metabolic activity.

Keywords

breast cancer, bioheat transfer, Green’s Functions, Tumor Metabolic Activity, Tumor Depth

 

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