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題 名 | Inverse Estimation of Transducer Parameters with Artificial Neural Network for Ultrasound Hyperthermia |
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作 者 | Chen,Yung-yaw; Lin,Win-li; Lu,Da-ching; Yen,Jia-yush; | 書刊名 | 醫學工程 |
卷 期 | 9:4 1997.08[民86.08] |
頁 次 | 頁12-22 |
分類號 | 410.1644 |
關鍵詞 | 換能器參數; 類神經網路; 超音波高溫; Inverse estimation; Power deposition; Transducer parameters; Artificial neural network; Ultrasound hyperthermia; |
語 文 | 英文(English) |
英文摘要 | Varying the power deposition by changing the heating system parameters and/or transducer parameters is the most commonly used technique for obtaining an appropriate temperature distribution during hyperthermia treatments. As the tumor size and shape, and other anatomic properties and conditions of the region under treatment are known, it is possible to employ an artificial neural network (ANN, from the power deposition to the transducer parameters) to estimate an optimal set of transducer parameters to produce an appropriate power deposition for achieving the requirements of the treatment. This would require much less computation time than that required by direct calculation of the wave radiation equation and optimization. in the present paper, an ANN has been studied in order to understand the relationship between the ultrasound power deposition and the transducer parameters. This ANN is then effectively utilized to inversely estimate the transducer parameters from the given power deposition for the treatment such that the estimated transducer parameters may form an ultrasound power deposition which is close to the given one. A two-element annular array transducer has been used in this preliminary study. The distribution of ultrasound intensity along an axis has been used for representing the entire distribution. During the training process, the average error is used as the stopping criterion, The results obtained herein, indicate that there is a minor difference between the transducer parameters inversely estimated by ANN and the given sets. Furthermore, the distribution of ultrasound intensity derived from the estimated set of transducer parameters is very close to that produced by the given set and the difference is acceptable. |
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