Model-based optimization of phased arrays for electromagnetic hyperthermia

Marc E. Kowalski, Jian Ming Jin

Research output: Contribution to journalArticlepeer-review


A summary of recent progress in model-based optimization of phased arrays for electromagnetic hyperthermia is reported. The electromagnetic phased array has the potential to overcome many of the difficulties associated with noninvasive hyperthermia, and is more effective if the driving amplitudes and phases of the array are carefully selected. A computationally efficient method for the optimization of the steady-state temperature distribution, a major driver of therapeutic response, has been developed. By employing a dual set of superposition principles, the technique minimizes the number of computationally expensive forward problems that must be solved in the course of an optimization. Additionally, a scheme that employs emerging noninvasive tomographic temperature estimation techniques, such as magnetic resonance thermometry, to perform optimization of a phased array has been developed and demonstrated experimentally. Conclusions about the potential value of each of the developed techniques are reached and directions for further research are indicated.

Original languageEnglish (US)
Pages (from-to)1964-1977
Number of pages14
JournalIEEE Transactions on Microwave Theory and Techniques
Issue number8 II
StatePublished - Aug 2004


  • Computational electromagnetics
  • Hyperthermia
  • Magnetic resonance imagining (MRI)
  • Model-based optimization

ASJC Scopus subject areas

  • Radiation
  • Condensed Matter Physics
  • Electrical and Electronic Engineering


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