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- W23644037 abstract "As biomedical imaging techniques develop, a new generation of imaging devices haveevolved based on our better understanding of the underlying bioelectromagneticeffects and principles. Field-tissue interactions have become an essential factor in thedesign and optimization process of the elements not just in high field magneticresonance imaging (MRI) but also in ultra-wideband (UWB) microwave imagingtechniques.Efficient and accurate numerical modelling tools are needed to model field-tissueinteractions and coil/antenna coupling effects in a wide frequency spectrum. In manycases, where complex heterogeneous human body models are engaged and highresolution field analysis is required to accurately simulate practical EM phenomenon,conventional modelling algorithms have posed challenging problems of numericalconvergence and stability. The shortage of effective and precise modelling schemeshas limited not only the potential of EM imaging capabilities, but crucially, ourunderstanding of patient and occupational workers’ safety to EM exposures.The research work presented in this thesis is therefore focused on high performancebioelectromagnetic computing solutions. A fully parallelized finite-differencetime-domain framework was realized to model the interaction of radio frequencyfields with a human whole-body phantom in high field MRI. In addition, with thecapability of time-domain analysis, this scheme was utilized to model a UWB systemto investigate microwave scattering effects through a tissue-equivalent breast phantom.The second part of the research concerns more on quasi-static finite-difference (QSFD)methods for low frequency modelling. With the aid of conjugate gradient algorithmsand a parallel computing framework, very large linear systems were efficiently solved.The behaviour of induced electric field and associated currents in vivo was modeledby the optimized QSFD scheme, which revealed the numerical proof of relatedadverse effects. Lastly, an optimized quasi-static impedance method was developed tomodel a hyperthermia device for tumor therapy. Both numerical convergence andcomputational efficiency was improved to handle large-scale high-resolutionproblems in respective scenarios." @default.
- W23644037 created "2016-06-24" @default.
- W23644037 creator A5013668644 @default.
- W23644037 date "2023-10-16" @default.
- W23644037 modified "2023-10-17" @default.
- W23644037 title "High Performance Electromagnetic Computing for Biomedical Applications" @default.
- W23644037 doi "https://doi.org/10.14264/155730" @default.
- W23644037 hasPublicationYear "2023" @default.
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