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A Quantitative Model of Cutaneous Melanoma Diagnosis Using Thermography

In: Mathematical and Computational Approaches in Advancing Modern Science and Engineering

Author

Listed:
  • Ephraim Agyingi

    (Rochester Institute of Technology)

  • Tamas Wiandt

    (Rochester Institute of Technology)

  • Sophia Maggelakis

    (Rochester Institute of Technology)

Abstract

Cutaneous melanoma is the most commonly diagnosed cancer and its incidence is on the rise worldwide. Early detection and differentiation of a malignant melanoma from benign cutaneous lesions provides an excellent chance for treating the disease. Thermography is a non-invasive tool that can be used to detect and monitor skin lesions. We model heat transfer in a skin region containing a lesion. The model which is governed by the Pennes equation uses the steady state temperature at the skin surface to determine whether there is an underlying lesion. Numerical simulations from the model ascertain whether the lesion is malignant or benign.

Suggested Citation

  • Ephraim Agyingi & Tamas Wiandt & Sophia Maggelakis, 2016. "A Quantitative Model of Cutaneous Melanoma Diagnosis Using Thermography," Springer Books, in: Jacques Bélair & Ian A. Frigaard & Herb Kunze & Roman Makarov & Roderick Melnik & Raymond J. Spiteri (ed.), Mathematical and Computational Approaches in Advancing Modern Science and Engineering, pages 167-175, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-30379-6_16
    DOI: 10.1007/978-3-319-30379-6_16
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