Abstract
This paper presents a computational strategy for real-time monitoring of hyperthermia treatment of cancer using nanoparticles. In this strategy, a numerical scheme based on the finite volume method is used for the simulation of heat diffusion in a synthetic biological system. This synthetic model is discretized with OcTree meshes, which can perform local refinement, allowing a good representation of complex geometries, besides having advantages on the use of computational resources. For real-time estimation of temperature in the three-dimensional model, the capture of the temperature field on the external surface of the model is simulated. With the data from these simulations, inverse problems are proposed and solved using the L-BFGS method. The damage caused by a temperature increase in healthy and diseased tissues is estimated, thus simulating a criterion for treatment safety. Numerical examples are analyzed with tumors at different depths, illustrating some particularities of this approach.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Journal of the Brazilian Society of Mechanical Sciences and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.