Professor Martin Graves

I am Professor of MR Physics and an Honorary Consultant Clinical Scientist with Cambridge University Hospitals. I received a BSc in Physics with Medical Applications and an MSc in Medical Electronic from the University of London and a PhD from the University of Cambridge.  I am a senior Fellow of the International Society for Magnetic Resonance in Medicine (ISMRM), the UK Institute of Physics and Engineering in Medicine (IPEM), the UK Higher Education Academy (HEA) and the British Institute of Radiology (BIR). My awards include Honorary Membership of the UK Royal College of Radiologists (RCR) and the 2018 IPEM Academic Gold Medal. I have co-authored over 240 peer-reviewed publications as well as several textbooks including “MRI: From Picture to Proton” (CUP 2003, 2007 and 2016). In 2021 I was highly honoured to receive the ISMRT Crues-Kressel award for outstanding contributions to Radiographer/Technologist teaching. My main academic interests are in MRI methods development, particularly for cardiovascular MRI. 

Current Projects 

• Opportunistic Analysis of Radiological Screening (OARS) involves the extraction and analysis of incidental features from imaging examinations that are typically unrelated to the main clinical reason for the scan. Most of this imaging data has been underutilised, yet it holds promise in enhancing patient wellness by aiding in prevention, risk assessment, and early detection of diseases. 
• Simultaneous PET/MR of carotid plaque inflammation using dynamic contrast-enhanced MRI and  
• Advanced Acquisition Techniques (AAT) in MR imaging, utilises deep learning-based algorithms to reconstruct sub-sampled MRI data with improved signal-to-noise ratio, improved spatial resolution and minimal artifacts. This work is in collaboration with GE HealthCare 
• General MRI acquisition methods development for cardiovascular and oncological applications. 

Recruitment of PhD / Post doctoral students 

 I am currently seeking funding and interested students for the following projects: 

• The visualisation and quantification of cardiovascular calcification using ZTE MRI  
• Development and evaluation of a dedicated AIR™ coil for imaging the carotid arteries and cervical spine 
• Development of cardiac and/or respiratory resolved free-breathing quantitative T1, T2 and T2* cardiac or liver MRI with radiomic analysis 
• Deep learning-based reconstruction and synthesis of MR liver elastograms 
• Improved liver imaging for inflammation scoring 
• Free breathing 3D ZTE, 3D stack-of-radials, 3D stack-of-spirals, or 3D cones based MRE of the liver and lungs 
• Application of Physics-Informed Neural Networks (PINNs) for Simulated MRI Data Generation in Deep Learning-Based Image Reconstructions 
• Real-time monitoring and processing of MR signals 
• Vendor independent pulse sequence development and image reconstruction using open-source methods, e.g. pulseq and BART