dc.contributor.authorMuhammad Jamil
dc.date.accessioned2014-02-26T03:01:57Z
dc.date.accessioned2017-07-23T08:40:53Z
dc.date.available2014-02-26T03:01:57Z
dc.date.available2017-07-23T08:40:53Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.citationMuhammad Jamil. (2014). Modeling of the cancer thermal therapies from the perspective of parametric sensitivity and improved treatment planning. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/55390
dc.description.abstractThe scope of this thesis covers the improved efficacy of the thermal therapies of capacitive hyperthermia and radiofrequency ablation (RFA). Additionally, it deals with the simulation of bioheat transfer with a novel numerical method that makes use of its meshless characteristic to provide the optimum simulation results. For capacitive hyperthermia, the effect of electrothermal parameters as well as physical parameters was quantified and regression based prediction model was formulated. Additionally, a novel meshless method known as Radial Basis Collocation Method (RBCM) has been applied to simulate the heterogeneous conduction and bioheat transfer problem. Research was carried out to analyze the efficacy of radiofrequency ablation (RFA) for varying electrothermal parameters under fixed temperature control and their combined effect was analyzed quantitatively in different tissues. Additionally, the effect of electrothermal parameters for concentric tumour model was analyzed under automatic temperature control. Simplified models models were utilized for prediction of therapeutic outcome.en_US
dc.format.extent222 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Mechanical engineeringen_US
dc.titleModeling of the cancer thermal therapies from the perspective of parametric sensitivity and improved treatment planningen_US
dc.typeThesis
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.supervisorNg Yin Kwee, Eddieen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (MAE)en_US
dc.identifier.doihttps://doi.org/10.32657/10356/55390


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