This thesis addresses computation fluid dynamics modelling of?aortic dissection (AD), in order to generate?in?silico?diagnostic information?and assess virtual surgery outcomes. The thesis introduces several important advances in the modelling of aortic dissection and lays essential groundwork for further development of this technology. The work?thesis represents a unique and major step forward in our understanding of AD using a patient-specific, systematic and coherent simulation approach, and?is currently the most advanced work available on AD.
This thesis addresses computation fluid dynamics modelling of?aortic dissection (AD), in order to generate?in?silico?diagnostic information?and assess virtual surgery outcomes. The thesis introduces several important advances in the modelling of aortic dissection and lays essential groundwork for further development of this technology. The work?thesis represents a unique and major step forward in our understanding of AD using a patient-specific, systematic and coherent simulation approach, and?is currently the most advanced work available on AD.?
Nominated as an outstanding PhD thesis by the University College London, UK
Highlights important advances in the modeling and simulation of aortic dissection
Presents a unique, patient-specific approach to aortic dissection
Offers essential insights into the benefits of using computational tools for surgery
Nominated as an outstanding PhD thesis by the University College London, UK
Highlights important advances in the modeling and simulation of aortic dissecló,
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