Intelligent non-invasive modeling of ultrasound-induced temperature in tissue phantoms

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• 作者：R. Ferreira^a ; ^{raufer92@gmail.com} ; M.G. Ruano^a ; ^b ; ^{mruano@ualg.pt} ; A.E. Ruano^a ; ^c ; ¹ ; ^{aruano@ualg.pt}
• 关键词：Non-invasive ; Temperature estimation ; Ultrasound ; Neural networks ; Tissue phantoms
• 刊名：Biomedical Signal Processing and Control
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：33
• 期：Complete
• 页码：141-150
• 全文大小：2247 K
• 卷排序：33

文摘

The evolution of the ultrasound-induced temperature in tissues is modelled. A phantom is used to obtain the model design data B-spline neural network models are used for temperature prediction. The approach obtains better results than the MRI gold standard. As the model is invertible, it can be used for real-time control.