Abstract
The present work is aimed at development of a method for estimation of the accuracy of ultrasound thermometry (UST) when applying during local HIFU heating of a tissue-mimicking material (TMM). The method is based on comparison of the ultrasound measurement results with a temperature field reconstructed inside the TMM using data of the infrared (IR) camera surface measurements. In the case presented, the HIFU transducer heated up the TMM by 30 °C for 10 s in the focus area. Ultrasound signals were processed using an in-house UST application software. A 3D temperature field inside the TMM was reconstructed using a method based on the neural network approach. As a result, it has been achieved a good agreement between the UST measurement data and the reconstructed temperature field, especially for the points along the HIFU transducer axis.
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