Dr Irvin Teh
Dr Teh obtained his PhD in MRI Physics developing diffusion MRI methods at Imperial College London, UK (2009). He then took up postdoctoral appointments at the Agency for Science Technology and Research, Singapore (2009-12) and subsequently at the University of Oxford, UK (2012-16) where he focused on assessing the microstructure of the heart using diffusion MRI. Since 2017, Dr Teh joined the University of Leeds as a Senior Research Fellow, and serves as the MRI Lead for the Experimental and Preclinical Imaging Centre (ePIC). The team at ePIC works extensively with partners to develop a wide range of MRI techniques and applications in the preclinical setting. Concurrently, there are strong connections with the clinic, and Dr Teh is involved in a number of clinical MRI studies that are being run at the Advanced Imaging Centre (AIC) and the Leeds General Infirmary. Dr Teh and team are developing advanced diffusion MRI techniques for investigating the myocardial microstructure in both preclinical and clinical applications, funded by grants from the British Heart Foundation and Heart Research UK. These include the use of novel pulse sequences and computational modelling to deliver new biomarkers linked to myocardial structure and perfusion for assessing different patient groups.
- MRI Lead for the Experimental and Preclinical Imaging Centre
- Module Lead for MSc Medical Imaging: MEDP5330M Research Projects
Microstructural characterization of the heart based on diffusion magnetic resonance imaging (MRI);
Development of novel methods for accurate and quantitative diffusion MRI in the heart;
Validation of diffusion MRI with simulations, phantoms and complementary imaging techniques.
- Doctor of Philosophy (MRI Physics)
- Masters of Biomedical Engineering
- Bachelor of Mechanical Engineering
- International Society for Magnetic Resonance in Medicine
Module Lead for MSc Medical Imaging: MEDP5330M Research Projects
Research groups and institutes
- Leeds Institute of Cardiovascular and Metabolic Medicine
- Biomedical Imaging Science