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Parameters sensitivity assessment and heat source localization using infrared imaging techniques.

Maryam Rastgar-Jazi1, Farah Mohammadi2

  • 1Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria St, Toronto, ON, M5B 2K3, Canada.

Biomedical Engineering Online
|September 23, 2017
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Summary
This summary is machine-generated.

Infrared (IR) imaging detects tumors by measuring surface temperature increases. Artificial neural networks optimize heat source localization using Penne

Keywords:
Artificial neural networksInfrared imagingMalignant cellsPenne’s bioheat equationSensitivity

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Area of Science:

  • Biomedical imaging
  • Thermal analysis
  • Medical diagnostics

Background:

  • Infrared (IR) imaging offers a non-invasive, non-ionizing method for detecting tumors and malignant cells.
  • Tumors exhibit increased vasculature and metabolism, leading to elevated surface body temperatures.
  • IR thermography allows assessment of tumor parameters like depth, intensity, and radius.

Purpose of the Study:

  • To enhance the accuracy of heat source localization in biological tissues.
  • To optimize tumor parameter estimation using computational methods.

Main Methods:

  • Utilized thermograms and Penne's bioheat equation to solve the inverse heat conduction problem (IHCP).
  • Employed artificial neural networks (ANNs) for optimizing tumor parameters.
  • Developed an analytical method for heat source localization.

Main Results:

  • Artificial neural networks were used to optimize parameters for accurate heat source localization in the female breast.
  • A novel formula derived from Penne's bioheat equation enables estimation of embedded heat source depth and radius.
  • The study allowed for the estimation of parameter errors through data analysis.

Conclusions:

  • The developed method improves the accuracy of detecting and characterizing heat sources, potentially aiding in tumor detection.
  • The derived formula provides a quantitative approach to estimate tumor dimensions and their associated uncertainties.
  • This research contributes to the advancement of non-invasive thermal imaging techniques for medical diagnostics.