Multipoint Temperature Control During Hyperthermia Treatments: Theory and Simulation

Philip VanBaren, Emad S. Ebbini

Research output: Contribution to journalArticlepeer-review

53 Scopus citations

Abstract

A real-time multipoint feedback temperature control system has been designed and implemented with an ultrasound phased-array applicator for hyperthermia. The control parameters are the total power available from the supply and the dwell times at a sequence of preselected heating patterns. Thermocouple measurements are assumed for temperature feedback. The spatial operator linking available heating patterns to temperature measurements is measured at the outset of the treatment and can be remeasured on line an adaptive implementation. A significant advantage of this approach is that the controller does not require a priori knowledge of either the placement of the thermocouples or the power distribution of the ultrasound heating patterns. Furthermore, the control loop uses a proportional integral (PI) gain in conjunction with a singular value decomposition (SVD) of the spatial transfer operator. This approach is advantageous for robust implementation and is shown to properly balance the power applied to the individual patterns. The controller also deals with saturation in the inputs without integrator windup and, therefore, without temperature overshoot. In this paper, we present the theoretical formulation and representative simulation results of the proposed controller. The control algorithm has been verified experimentally, both in vitro and in vivo. A subsequent paper describing these results and the practical implementation of the controller will follow.

Original languageEnglish (US)
Pages (from-to)818-827
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Volume42
Issue number8
DOIs
StatePublished - Aug 1995

Bibliographical note

Funding Information:
Manuscript received March 29, 1994; revised April 14, 1995. This work was supported in part by a grant from the Whitaker Foundation and in part by Grant CA44124 from the National Institutes of Health. The authors are with the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109 USA. IEEE Log Number 9412531.

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