Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations

作者：

Highlights：

• A real-time model of the mechanical behavior of any liver has been developed.

• It achieves a Mean Euclidean Error below 1mm and a frequency above 100Hz.

• It generalizes to multiple simultaneous forces, different materials and geometries.

• To this end, a new geometry parametrization algorithm is also proposed.

摘要

•A real-time model of the mechanical behavior of any liver has been developed.•It achieves a Mean Euclidean Error below 1mm and a frequency above 100Hz.•It generalizes to multiple simultaneous forces, different materials and geometries.•To this end, a new geometry parametrization algorithm is also proposed.

论文关键词：Machine learning,Finite element method,Real time,Liver,Coherent point drift,Biomechanical modeling

论文评审过程：Received 21 January 2019, Revised 23 September 2019, Accepted 8 November 2019, Available online 8 November 2019, Version of Record 13 November 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113083