Xiaojing Guo
- xiaojingg@student.unimelb.edu.au
- Desk 2.030, Level 2, Melbourne Connect
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
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)