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[交流] 英国拉夫堡大学Carotid Artery Digital Twin方向招生

Carotid Artery Digital Twin: From Personalized Imaging to Hemodynamics-Driven Intelligent Diagnosis

Project detail:
Carotid atherosclerosis is a major cause of ischemic stroke. Current clinical assessments based on stenosis severity and plaque morphology are insufficient for accurately predicting plaque rupture and stroke risk.
This project aims to develop a carotid artery digital twin framework, integrating high-resolution medical imaging (MRI/CTA), computational fluid dynamics (CFD), and machine learning to enable personalized risk assessment and treatment planning.

Key objectives include:
• Reconstruction of patient-specific carotid geometry and hemodynamic parameters (e.g., wall shear stress, oscillatory shear index)
• Prediction of plaque progression and rupture risk
• Virtual stenting and surgical planning for treatment optimization

Entry requirements:
1. 1st class Master's degree in Engineering, Mathematics or Physics. 2. Strong background or interest in digital twin, AI, and fluid mechanics. 3. Experience with programming languages, such as Fortran, Matlab, or Python.
English language requirements:
Applicants must meet the minimum English language requirements. Further details are available on the International website (https://www.lboro.ac.uk/international/applicants/english/).

Funding information:
The applicant will be supported to apply for China Scholarship Council PhD studentship.

Supervisor Introduction:

Dr. Bijie Yang received his PhD degree from the Department of Mechanical Engineering, Imperial College London sponsored by Mitsubishi Heavy Industry (MHI) Scholarship. Prior to his appointment as a Lecturer in Sustainable Power and Propulsion at Loughborough University, he had been a Research Associate at Imperial College working on a number of Projects sponsored by Industrial Partners, such as, MHI, Caterpillar and Daimler. His research interests include high-fidelity simulations, and multiphysics gas dynamics. Dr. Bijie Yang is also an honorary Lecturer at Imperial College London (ICL).

Email: b.yang@lboro.ac.uk
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