Fast computation of soft tissue thermal response under deformation based on fast explicit dynamics finite element algorithm for surgical simulation

by   Jinao Zhang, et al.

During thermal heating surgical procedures such as electrosurgery, thermal ablative treatment and hyperthermia, soft tissue deformation due to tool-tissue interaction and patients' motion can affect the distribution of induced thermal energy. Tissue temperature must be efficiently and accurately obtained from deformed tissues for precise thermal energy delivery; however, the classical Pennes bio-heat transfer can handle only the static non-moving state of soft tissue. This paper presents a formulation of bio-heat transfer under the effect of tissue deformation for fast or near real-time tissue temperature computation, based on fast explicit dynamics finite element algorithm for transient heat transfer. The proposed computation is achieved by transformation of the unknown deformed tissue state to the known initial non-moving state via a mapping function. The appropriateness and effectiveness of the proposed methodology are evaluated on a realistic virtual human liver with blood vessels to demonstrate a clinically relevant scenario of thermal ablation of hepatic cancer. Compared against the established non-linear procedures from commercial finite element analysis package, ABAQUS/CAE, the proposed methodology can achieve a typical 1.0e-3 level of normalized relative error at nodes and between 1.0e-4 and 1.0e-5 level of total errors, which is in good agreement with ABAQUS solutions. The proposed method consumes slightly more time than the formulation without soft tissue deformation, and computation performance of five different formulations are examined. The proposed method can be applied with bio-mechanical deformable models for fast or near real-time computation of non-linear bio-heat transfer, leading to translational potential in dynamic tissue temperature predictive analysis and thermal dosimetry computation for computer-integrated medical education and personalized treatments.



There are no comments yet.


page 7

page 8

page 9

page 10

page 11


Real-time computation of bio-heat transfer in the fast explicit dynamics finite element algorithm (FED-FEM) framework

Real-time analysis of bio-heat transfer is very beneficial in improving ...

Towards real-time finite-strain anisotropic thermo-visco-elastodynamic analysis of soft tissues for thermal ablative therapy

Accurate and efficient prediction of soft tissue temperatures is essenti...

Fast explicit dynamics finite element algorithm for transient heat transfer

This paper presents a novel methodology for fast simulation and analysis...

Incorporating Deformation Energetics in Long-Term Tectonic Modeling

The deformation-related energy budget is usually considered in the simpl...

PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery

Correctly capturing intraoperative brain shift in image-guided neurosurg...

Suite of Meshless Algorithms for Accurate Computation of Soft Tissue Deformation for Surgical Simulation

The ability to predict patient-specific soft tissue deformations is key ...

Synthesizing Strategies for Needle Steering in Gelatin Phantoms

In medicine, needles are frequently used to deliver treatments to subsur...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.