Investigation of Multivariable Estimation in Breast Tumor Diagnosis by Infrared Thermography
HUANG Jian
LU Mei
LI Bohan
ZHANG Tao
Abstract：Medical infrared thermography is a non -contact,non -invasive imaging method that applied in the area of breast canc-er detection.With thermogram,parameters of tumor inside can be estimated,and an inverse heat conduction model with inner heat source was obtained from it.Embark upon the situation that inverse heat conduction problem has multi variables,tumor position,meta-bolic heat generation rate and thermal conductivity,two more assistant fitness function were established base on how heat source posi-tion and conductivity influence the surface temperature,and Particle Swarm Optimization was modified to solve the multivariable inverse problem.Numerical verification showed that the method was suitable for breast tumor properties estimation,and the modified PSO with multi fitness functions improved the accuracy and shortened the solution time.The results provide theoretical basis for quantitative diag-nosis of breast tumor by infrared thermal images.
Keywords：Breast tumorInfrared diagnosisMultivariable inverse heat conduction problemMulti fitness functionParticle swarm optimization algorithm
Publication Date：2015-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：6( 74-79 )