TY - JOUR
T1 - Model-based optimization of phased arrays for electromagnetic hyperthermia
AU - Kowalski, Marc E.
AU - Jin, Jian Ming
N1 - Funding Information:
Manuscript received September 24, 2003; revised January 19, 2004. This work was supported under a National Science Foundation Graduate Fellowship, under an IEEE Microwave Theory and Techniques Society Graduate Fellowship, and by the National Cancer Institute under Physicians’ Health Study Grant 5 T32 CA 09076.
PY - 2004/8
Y1 - 2004/8
N2 - 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.
AB - 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.
KW - Computational electromagnetics
KW - Hyperthermia
KW - Magnetic resonance imagining (MRI)
KW - Model-based optimization
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U2 - 10.1109/TMTT.2004.831987
DO - 10.1109/TMTT.2004.831987
M3 - Article
AN - SCOPUS:4043154817
SN - 0018-9480
VL - 52
SP - 1964
EP - 1977
JO - IEEE Transactions on Microwave Theory and Techniques
JF - IEEE Transactions on Microwave Theory and Techniques
IS - 8 II
ER -