Inverse Techniques in Hyperthermia: A Sensitivity Study

Scott T. Clegg, Thaddeus V. Samulski, Katherine A. Murphy, Gary L. Rosner, Mark W. Dewhirst

Research output: Contribution to journalArticlepeer-review

Abstract

Numerical modeling methods and hyperthermia treatment temperature measurements have been used together to reconstruct steady-state tumor temperature distributions. However, model errors will exist which may in turn produce errors in the reconstructed temperature distributions. A series of computer experiments was conducted to study the sensitivity of reconstructed two-dimensional temperature distributions to perfusion distribution modeling errors. Temperature distributions were simulated using a finite element approximation of Pennes’ bioheat transfer equation. Relevant variables such as tumor shape, perfusion distribution, and power deposition were modeled. An optimization method and the temperatures “measured” from the simulated temperature distributions were used to reconstruct the tumor temperature distribution. Using this procedure, the sensitivity of the reconstructed tumor temperature distribution to model-related errors, such as the perfusion function, was studied. It was found that: 1) if the problem is conduction dominated, large errors in the perfusion distribution produce only small errors in the reconstructed temperature distribution (maximum error <1.0° C), and 2) when the actual perfusion distribution contains a small random variation (±15%) which is neglected by the model, the reconstructed temperature distribution will be in good agreement with the actual temperature distribution (maximum error ≤ 0.3°.

Original languageEnglish (US)
Pages (from-to)373-382
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Volume41
Issue number4
DOIs
StatePublished - Apr 1994
Externally publishedYes

ASJC Scopus subject areas

  • Biomedical Engineering

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