Flagship 2: Cardiovascular diagnostics and therapeutics


Cardiovascular dysfunction (CVD) is a leading cause of death, hospital admission, and reduced quality of life, and costs approximately 1% of New Zealand’s GDP. To reduce the economic and societal costs, we need better ways to estimate and monitor key biomarkers that are not directly measurable - but that can be used to guide CVD patient management in a more reliable and personalised manner.

The overall goal of this Flagship is to develop model-based biomarkers and methods to guide care of CVD patients.


Principal Investigators

University of Auckland

University of Canterbury

Associate Investigators

  • Dr Vicky Wang
  • Dr Rob Doughty
  • Professor Bruce Smaill
  • Professor Peter Hunter
  • Dr David Budgett
  • Dr Jichao Zhao
  • Dr Jagir Hussan
  • Dr Geoff Shaw

Our Work


Current collaborators

  • University of Canterbury (New Zealand)
  • University of Auckland (New Zealand)
  • University of Liege (Belgium)
  • CHU de Liege - Hospital and Med School (Belgium)
  • University College London (UK)
  • Alien TT (Italy)
  • University of Otago Christchurch (New Zealand)
  • Christchurch Hospital / CDHB (New Zealand)
  • Tiro Medical LLC, Christchurch (New Zealand)

Future collaborators

We are looking to collaborate with:

  • St George’s Hospital, Christchurch
  • Private cardiovascular surgery hospitals in general



  1. Minimally Invasive Estimation of Ventricular Dead Space Volume through Use of Frank-Starling Curves
  2. Improved Pressure Contour Analysis for Estimating Cardiac Stroke Volume using Pulse Wave Velocity Measurement
  3. Practical Identifiability Analysis of a Minimal Cardiovascular System Model


  1. Roadmap for Cardiovascular Circulation Model
  2. Structural Identifiability Analysis of a Cardiovascular System Model
  3. Image-Driven Constitutive Modelling of Myocardial Fibrosis
  4. Analysing the Effects of Cold, Normal, and Warm Digits on Transmittance Pulse Oximetry
  5. Virtual Patients and Virtual Cohorts: A New Way to Think About the Design and Implementation of Personalized ICU Treatments


  1. Model-based Computation of Total Stressed Blood Volume from a Preload Reduction Manoeuvre
  2. Determining Anisotropic Myocardial Stiffness from Magnetic Resonance Elastography: A Simulation Study
  3. Microstructural Remodelling and Mechanics of Hypertensive Heart Disease
  4. Field-Based Parameterisation of Cardiac Muscle Structure from Diffusion Tensors
  5. The Forward Problem of Electrocardiography: Is it Solved?
  6. Image-Based Predictive Modeling of Heart Mechanics.


  1. Identifying Myocardial Mechanical Properties from MRI Using an Orthotropic Constitutive Model