Professor Michelle Williams (MBChB BSc Med Sci PhD BA MRCP FRCR FSCCT)
Professor of Cardiovascular Imaging
Address
- Street
-
The Queen's Medical Research Institute,
Edinburgh BioQuarter,
47 Little France Crescent - City
- Edinburgh
- Post code
- EH16 4TJ
Background
Professor Michelle Williams is Professor of Cardiovascular Imaging at the University of Edinburgh and Honorary Consultant Radiologist at NHS Lothian. She holds a British Heart Foundation funded Intermeditate Clinical Research Fellowship.
Her British Heart Foundation funded research centres around multi-modality imaging of the heart, lungs and blood vessels. She uses state-of-the-art machine learning techniques to discover new information in medical imaging. Her research involves computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET) imaging of various cardiovascular diseases, and in particular coronary artery disease. She is a member of the steering committee of the SCOT-HEART and SCOT-HEART2 trials, which investigate the use of computed tomography coronary angiography to identify coronary artery disease.
She is past president of the British Society of Cardiovascular Imaging, member of the Board of Directors of the Society of Cardiovascular Computed Tomography, member of the executive committee of the European Society of Cardiovascular Radiology and chair of the European Imaging Biomarker Alliance of the European Society of Radiology.
Qualifications
MBChB PhD BSc BA FRCR MRCP FSCCT
Research summary
My British Heart Foundation funded research centres around multi-modality imaging of the heart, lungs and blood vessels. I use state-of-the-art machine learning techniques to discover new information in medical imaging.
My research involves computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET) imaging of various cardiovascular diseases, and in particular coronary artery disease.
I am a member of the steering committee of the SCOT-HEART and SCOT-HEART2 trials, which investigate the use of computed tomography coronary angiography to identify coronary artery disease.