Aortic Dissection: Simulation Tools for Disease Management and Understanding

Beschreibung

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 dissection Presents a unique, patient-specific approach to aortic dissection Offers essential insights into the benefits of using computational tools for surgery

Autor*in

Mona Alimohammadi

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Aortic Flow Fluid Dynamics Aortic Surgery Virtual Surgery Computational Tools

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