Develop multi-modality cardiopulmonary computational models for pulmonary hypertension

PhD Project

Pulmonary hypertension (PH) is a severe progressive disease affecting both the heart and lungs, and a range of imaging techniques are utilised to phenotype PH and direct patient management to improve disease prognosis. A major challenge for implementing the cardiac and pulmonary computational models developed at the Auckland Bioengineering Institute in PH patients is that the current models rely on different imaging modalities. A new exciting collaboration with the Sheffield Pulmonary Vascular Disease Unit, a specialist referral centre for treating PH in the UK, will provide access to a registry of over 1000 PH patients assessed with a variety of standard and novel imaging techniques. This comprehensive PH imaging data will facilitate the development of new patient-specific computational models of coupled heart and lungs systems based on multi-modality PH imaging. Additional aims for this PhD project include:

  • Develop a framework for spatial co-registration across different imaging modalities to reconcile structure and function information from multi-modality heart and lung imaging. 
  • Develop machine learning-based segmentation approaches to accelerate cardiopulmonary image processing methods and pipelines.
  • Validate the newly developed cardiopulmonary computational models by implementing them within a New Zealand-based clinical workflow for PH disease management.

Desired skills

  • Bachelor’s or Masters degree in Engineering, Physics or equivalent.
  • Experience in medical imaging, image processing and mathematical modelling would be desirable


Aotearoa Fellowship

Contact and supervisors

For more information or to apply for this project, please follow the link to the supervisors below: