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Scholarship details

2023 RTP - Patient-Specific CT-Derived Computational Modelling to Optimise Outcomes in Aortic Stenosis

Status: Open

Applications open: 8/07/2022
Applications close: 18/08/2022

View printable version [.pdf]

About this scholarship

Aortic stenosis is inevitably fatal, with valve replacement the only viable treatment. Transcatheter aortic valve replacement (TAVR) has revolutionised treatment of aortic stenosis by offering a less invasive alternative to open heart surgery. Cardiac CT Angiography has been crucial to translating TAVR into practice by providing an accurate non-invasive means to guide procedural strategy. With the indications for TAVR expanding to younger patients, there is a pressing need for cardiac CT to evolve and address the issues of long-term valve durability, feasibility of repeat TAVR and prognostic impact of procedural complications. However, the current use of cardiac CT fails to provide adequate risk assessment and planning across the patients’ life-time journey with AS. This research proposal aims to address the shortcomings of CTA and develop tools to improve the short and long-term outcomes of TAVR.

This study will apply advanced techniques in cardiac imaging and biomedical engineering to 1) develop a novel cardiac CT computational model for simulating patient-specific valve implantation and predicting procedural outcomes. The model will be further refined by applying the principles of computational fluid dynamics to 2) assess the haemodynamic impact of valve deployment on aortic blood flow to predict the development of leaflet thrombosis, a major contributor to valve degeneration and 3) assess the impact of repeat TAVR on coronary blood flow to provide a more comprehensive risk assessment of coronary obstruction. The objectives will be achieved through collaboration between clinicians and biomedical engineers using a combination of in-vivo and in-vitro validation. The results provide a foundation to use this validated cardiac CT model to determine the ideal procedural strategy to optimise TAVR outcomes, initiate targeted therapies for patients at risk of valve degeneration and refine the risk-assessment of coronary obstruction, allowing repeat TAVR to become a safer and more accessible procedure. 

  • Future Students
  • Faculty of Health Sciences
  • Higher Degree by Research
  • Australian Citizen
  • Australian Permanent Resident
  • New Zealand Citizen
  • Permanent Humanitarian Visa
  • Merit Based

The annual scholarship package (stipend and tuition fees) is approx. $60,000 - $70,000 p.a.


Successful HDR applicants for admission will receive a 100% fee offset for up to 4 years, stipend scholarships, valued at $28,854 p.a. for up to a maximum of 3.5 years, are determined via a competitive selection process. Applicants will be notified of the scholarship outcome in November 2022. 


For detailed information, visit: Research Training Program (RTP) Scholarships | Curtin University, Perth, Australia.

Scholarship Details


All applicable HDR courses

1) Bachelor's degree with background in engineering, medical imaging or computer science
2) Good communicator and ability to work well in multi-disciplinary team 
3) Background in image processing or computational modelling would be helpful - but not essential (training will be provided) 

Application process

If this project excites you, and your research skills and experience are a good fit for this specific project, you should contact the Project Lead (listed below in the enquires section) via the Expression of Interest (EOI) form. ahead of the closing date.

Enrolment Requirements

Eligible to enrol in a Higher Degree by Research Course at Curtin University by March 2023


To enquire about this project opportunity that includes a scholarship application, contact the Project lead, Dr Abdul Ihdayhid via the EOI form above.

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