Abstract:
The metabolic heat generation rate directly quantifies either the
presence or the absence of tumour and the degree of inflammations
in the biological tissue. This work presents an inverse method aimed
at estimating the rate of metabolic heat generation using the dynamic
temperature response from the skin obtained under an imposed
heat flux by solving the transient non-Fourier thermal wave bioheat
equation using the finite difference method. The golden section
search method (GSSM)-based inverse method has been applied
to solve an inverse problem minimizing the Euclidean norm of the
known and guessed temperature distributions. The effect of random
noise has been studied and a reasonably accurate identification of
healthy and unhealthy metabolic heat generation rates has been
characterized. The present work offers a novel inverse technique
based on GSSM algorithm to predict the pertinent heat generation
rate from the transient temperature distribution that can be obtained
using spatially offset Raman spectroscopy, microwave thermography
and other potential techniques.
