PREDICTION OF THE SKULL’S ACOUSTIC PARAMETERS IN TRANSCRANIAL FOCUSED ULTRASOUND BASED ON NEURAL NETWORK

摘要：

In this paper,multilayer perceptron neural networks (MLP neural networks) were used to predict the monkey skull’s acoustic parameters (density and sound velocity) for transcranial focused ultrasound (tcFUS) therapy based on the computed tomography (CT) of the monkey skull.Levenberg-Marquardt algorithm was applied for the training of the neural networks with 168 input learning materials.The predicted results of eight samples demonstrated the effectiveness of the proposed method for accurately predicting the monkey skull’s acoustic parameters with the maximum absolute error and the maximum relative error for density of 0.0541 kg/m3 and 0.00355％ respectively and for sound velocity of 0.167 m/s and 0.00542％ respectively.Further comparisons of the two dimensional (2D) transcranial focused ultrasound simulations with the predicted and the hypothetically real acoustic parameters of the monkey skull showed that the maximum absolute error and the maximum relative error of the acoustic field were 2.3 10-4 Pa and 0.00161％ respectively.Additionally,at the main distribution area of the acoustic field,the relative error was smaller.All of the numerical analyses of the density error,sound velocity error and acoustic field error were responsible for supporting the proposed method suitable for precisely predicting the monkey skull’s acoustic parameters.

关键词： Multilayer perceptron neural network Transcranial focused ultrasound Skull’s acoustic parameter

作者: Xiang-da WANG Nan-xing LI Wei-jun LIN Chang SU

作者单位: State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100 National Network New Media Engineering Research Center, Institute of Acoustics,Chinese Academy of Sc State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100

会议类型: 国际会议

会议名称: The 2016 Symposium on Piezoelectricity,Acoustic Waves and Device Applications(2016全国压电和声波理论及器件技术研讨会)

会议地点: 西安

会议语种:英文

页码: 123-126

在线出版日期: 2016-10-21（万方平台首次上网日期，不代表论文的发表时间）