A data-driven methodology for non-invasive tempearture estimation in multilayered media

Teixeira, C. A.; Pereira, W. C. A.; Ruano, M. Graça; Ruano, Antonio

http://hdl.handle.net/10400.1/2231

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Abstract(s)

A main limitation on the application of thermal therapies is the lack of quantitative temperature knowledge in the treatment zone. This knowledge would increase the safety and effectiveness, through a correct instrumentation control. The portability and relative low cost of the ultrasound devices encourages the application of backscattered ultrasound (BSU) for temperature estimation. So far the methods based on BSU were only developed for homogeneous media. This paper reports a data-driven methodology able to estimate temperature in non-homogeneous media, with the required resolution. Appropriate generalisation performance was observed even under operating situations never considered in the training procedure.

Keywords

Temperature profiles Temperature control Neural networks-models Radial base function networks Multi-objective optimisation

URI

http://hdl.handle.net/10400.1/2231

Citation

Teixeira, C. A.; Pereira, W. C. A.; Ruano, M. G.; Ruano, A. E. A Data-Driven Methodology for Non-Invasive Tempearture Estimation in Multilayered Media, Trabalho apresentado em 8th Portuguese Conference on Automatic Control (Controlo 2008), In Proceedings of the 8th Portuguese Conference on Automatic Control (Controlo 2008), Vila Real, 2008.