Neural network methodology for real-time modelling of bio-heat transfer during thermo-therapeutic applications
作者：
Highlights：
• Neural network modelling of Pennes bio-heat transfer in tissue.
• Real-time tissue temperature prediction and thermal dose computation during the thermo-therapeutic treatment.
• Cellular neural network models on three-dimensional regular and irregular grids.
• Computational time reduction of 304 and 772.86 times compared to commercial FEM codes with and without parallelisation.
• Application to high-intensity focused ultrasound (HIFU) treatment of hepatic cancer.
摘要
•Neural network modelling of Pennes bio-heat transfer in tissue.•Real-time tissue temperature prediction and thermal dose computation during the thermo-therapeutic treatment.•Cellular neural network models on three-dimensional regular and irregular grids.•Computational time reduction of 304 and 772.86 times compared to commercial FEM codes with and without parallelisation.•Application to high-intensity focused ultrasound (HIFU) treatment of hepatic cancer.
论文关键词：Cellular neural networks,Pennes bio-heat transfer equation,Real-time computation,Thermo-therapeutic treatment
论文评审过程：Received 26 April 2019, Revised 30 July 2019, Accepted 26 September 2019, Available online 30 September 2019, Version of Record 9 October 2019.
论文官网地址：https://doi.org/10.1016/j.artmed.2019.101728
