Doctoral study in Medical Imaging
Why study with us?
Our Department of Anatomy and Medical Imaging delivers the only postgraduate programmes in New Zealand for the medical imaging profession. The department is widely recognised for several outstanding features, including:
- Academic support for the state-of-the-art Biomedical Imaging Research Unit and Centre for Advanced MRI
- An internationally recognised human brain bank for neuroscience research
- A fully integrated facility that underpins anatomy, radiology and pathology teaching on the human body
- AMRF Medical Sciences Learning Centre - Whakaaro Pai
- A broad range of high-quality histology techniques in the Histology Laboratory
- Cutting edge anatomical research in the Auckland Clinical Anatomy Research Team
You could become involved in some of the important and life-changing research in our faculty.
Medical Imaging Research being undertaken in the Department of Anatomy and Medical Imaging includes:
- Neuropathology and cognitive function disorders with functional MRI
- Heart disease diagnosis and prognosis using MRI
- Ultrasound investigations of cardiovascular disease
- MRI imaging of the pelvic diaphragm and anal sphincter mechanism
- Structure and function correlations between high resolution CT of the chest and MRI of lung disease
Pursue your postgraduate study in Medical Imaging with us and benefit from exceptional standards of support and supervision from internationally recognised researchers.
Professor Alistair Young
Alistair has developed methods for fast analysis of heart function using MRI, atlas-based analysis of heart disease in large populations, and evaluation of heart stiffness and contractility from non-invasive medical imaging exams. He is a founding member and current Board of Trustees member of the Society of Cardiovascular Magnetic Resonance, and member of the International Society of Magnetic Resonance in Medicine. He also serves on the editorial boards of several journals including Medical Image Analysis, Journal of Biomedical and Health Informatics, and GigaScience. He is Principal Investigator for the Cardiac Atlas Project, a world-wide consortium for the re-use of imaging data. His work has been funded by the Health Research Council of New Zealand, the National Heart Foundation of New Zealand, The Marsden Fund, The Wellcome Trust, and the National Institutes of Health (USA).
Find out more: https://unidirectory.auckland.ac.nz/profile/a-young
Associate Professor Jenny Hiow Hui Sim
Programme Director Medical Imaging
Associate Professor Jenny Hiow Hui Sim is the programme director of Medical Imaging. Jenny obtained her PhD from RMIT University, Melbourne, in December 2006. She has extensive university teaching experience, having taught in a number of Australian universities prior to joining the University of Auckland in December 2013. She enjoys pushing boundaries, in particular, designing innovative curricula that enhance student learning and assist students’ transition from university to workplace.
As part of the scholarship of learning and teaching, Jenny also facilitates workshops for university academics and clinicians on learning and teaching and reflective practice.
While both her PhD and MSc studies were aimed at postgraduate and undergraduate education in Medical Radiations and had a strong applied focus, her current research has an interdisciplinary focus across health sciences disciplines. Jenny's primary research is in learning and teaching in higher education.
Find out more: Associate Professor Jenny Hiow Hui Sim
Dr Beau Pontre
Beau is a physicist with a special interest in medical imaging. He is an expert on high field MRI scanning, perfusion quantification and muscle structure quantification using diffusion tensor imaging.
Find out more: https://www.fmhs.auckland.ac.nz/people/profile/b-pontre
Past Research Topics
- Assessment of Left Ventricular Diastolic Function with Three Dimensional Cardiac Magnetic Resonance Imaging
- Finite Element Modelling of Myocardial Mechanics from Magnetic Resonance Imaging
- Model-based Strategies for Automated Segmentation of Cardiac
- Magnetic Resonance Images
- Understanding and measuring flow in aortic stenosis with MRI
- Hardware Accelerated Non-Rigid Registration for the Evaluation of Cardiac Function
- Modelling In Vivo Cardiac Mechanics using MRI and FEM
- Mathematical Tools for Ventricular Analysis using Cardiac MRI
- Shape and Function Analysis in Large Cardiac MRI Datasets
- Exercise Cardiac MRI Stress Testing in Aortic Disease
- Left and Right Ventricular Function in Congenital Heart Disease
- Haemodynamic Assessment of Coronary Flow with CFD and Phase-Contrast MRI
- Atlas-based Analysis of Cardiac Function
All supervised by Professor Alistair Young