Xiaojing Guo

Thesis Title

Patient-specific Modelling of human thoracic Aorta

Research overview

My research mainly focus on the patient-specific aortic simulation informed by four-dimensional phase contrast magnetic resonance imaging. Several sources of uncertainty may be introduced in the aortic simulations, such as boundary conditions, blood rheology and aortic geometries. A comprehensive framework is proposed to accurately translate in vivo data to be used as boundary conditions into an in-silico environment. Second, the Quemada model is used to represent the shear-thinning behaviour of blood with hematocrit variation. Third, there is a development of a patient-specific simulation tool to analyse aortic dissections.

Supervisors

Prof Andrew Ooi

A/Prof Ruth Lim

Dr Kingwai Poon

Qualifications

M.Eng. Mechanical Engineering, The University of Melbourne, Australia (2018)

B.Eng. Mechanical Engineering, Beijing University of Chemical Technology, China (2015)