Heat Transfer Simulation for Optimization and Treatment Planning of Magnetic Hyperthermia Using Magnetic Particle Imaging

This study was undertaken to develop a system for heat transfer simulation for optimization and treatment planning of magnetic hyperthermia treatment (MHT) using magnetic particle imaging (MPI). First, we performed phantom experiments to obtain the regression equation between the MPI pixel value and...

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Bibliographic Details
Published inarXiv.org
Main Authors Banura, Natsuo, Mimura, Atsushi, Nishimoto, Kohei, Murase, Kenya
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 26.05.2016
Subjects
Computed tomography
Computer simulation
Finite element method
Heat transfer
Hyperthermia
Medical imaging
Mouse devices
Nanoparticles
Optimization
Pixels
Temperature dependence
Temperature distribution
Time dependence
Tumors
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Summary:This study was undertaken to develop a system for heat transfer simulation for optimization and treatment planning of magnetic hyperthermia treatment (MHT) using magnetic particle imaging (MPI). First, we performed phantom experiments to obtain the regression equation between the MPI pixel value and the specific absorption rate (SAR) of magnetic nanoparticles (MNPs), from which the MPI pixel value was converted to the SAR value in the simulation. Second, we generated the geometries for use in the simulation by processing X-ray computed tomography (CT) and MPI images of tumor-bearing mice injected intratumorally with MNPs (Resovist). The geometries and MPI images were then imported into software based on a finite element method (COMSOL Multiphysics) to compute the time-dependent temperature distribution for 20 min after the start of MHT. There was an excellent correlation between the MPI pixel value and the SAR value (r = 0.956). There was good agreement between the time course of the temperature rise in the tumors obtained by simulation and that obtained experimentally. The time-dependent temperature distributions under various blood perfusion rates in the tumors and at various locations could be simulated, which cannot be easily obtained experimentally. These results suggest that our system for heat transfer simulation using MPI will be useful for the optimization and treatment planning of MHT.
ISSN:2331-8422