An Analytical Method Of Breast Tumors Based On Thermal Tomography

Breast cancer has become a major threat to women’s health worldwide,while the key to improve the survival rate and breast preservation rate of breast cancer patients lies in the early detection of tumors.Therefore,the early detection and diagnosis of breast cancer,and the correct differentiation of benign and malignant have been a hot issue in the scientific community.When a disease such as breast tumors occurs in the human body,the functional changes(such as temperature,metabolism,etc.)of the human body tends to be much earlier than the morphological changes.However,most of the conventional morphological breast tumor detection methods such as breast ultrasound and breast mammography can only identify the lesions after the changes of breast tissue,lack early analysis of breast tumors,and each one of them has its own shortcomings.Far infrared thermal imaging technology is a new functional diagnostic method.The infrared thermogram of human breast surface obtained by infrared detector is result of the formation of its internal blood flow and metabolic heat generation in the body surface by biological heat transfer.But simply analyzing the surface temperature of human body is difficult to accurately diagnose the pathological state of human body,let alone analyze the information of human body.Thermal tomography uses the theory of biological heat transfer to quantitatively deduce the thermal information of the internal heat source layer by layer,so that the captured abnormal heat source can be visualized.This technology has great significance and broad prospects for early detection and diagnosis of breast cancer,and has very important clinical value as well.Its analysis process is an inversion process from body surface temperature to body heat source information.The difficulty of this method lies in the selection of a suitable heat transfer model and how to distinguish the benign and malignant tumors correctly and effectively.Therefore,this paper proposes a simple,fast and noninvasive breast tumor model that is based on thermal chromatography,and its analysis method.After extracting the living body’s surface temperature with an infrared thermal imager,the point heat source is introduced to simplify Pennes biological heat conduction equation and then get the solution,so as to realize the inversion of the three-dimensional temperature field of organism.The actual tumor is regarded as a complex heat source system consisting of multiple point heat sources,and its model is established by MATLAB 2015.After obtaining the surface temperature of the patient’s breast area by HB-T-3 thermal tomography system,the body temperature data is imported into the model for fitting,then the depth of the model,the position and the heat intensity of125 points can be calculated.Through a large number of experiments,R~2can be more than 0.9,indicating that the model is very effective in the prediction of breast tumors.The model can measure the depth and size of the tumor.The depth corresponds to the anatomical position of the tumor,and the intensity reflects its metabolic state.At the same time,on the basis of this method,a method to distinguish benign and malignant breast tumors is proposed,and the effectiveness and accuracy of this method are proved by analyzing80 clinical cases.