Professor Julian Gunn
Professor Julian Gunn
Email: j.gunn@sheffield.ac.uk
Research profile and key clinical specialties
I am an Interventional Cardiologist at Sheffield Teaching Hospitals, and head the Mathematical Modelling in Medicine group in the Faculty of Medicine at the University of Sheffield.
Our main interest is in making the best therapeutic decisions for patients with coronary artery disease, with an emphasis on computational modelling of blood flow through diseased arteries, in patients with several different conditions. We use angiographic images like the one shown here.
We also have access to a variety of state-of-the-art imaging modalities, strong links with mathematicians, coders, engineers and other interventional cardiology groups.
I have supervised many MD and PhD students in this area, with funding from BHF, MRC, NIHR and Wellcome.
Two key publications
- The impact of virtual fractional flow reserve (vFFR) and virtual coronary intervention (VCI) upon treatment decisions. Gosling R, Morris P, Adam Z, Barmby D, Iqbal J, Morgan K, Richardson J, Rothman A, Lawford P, Hose D, Gunn J. Can J Cardiol 2021 Jun 11;S0828-282X(21)00301-9. doi: 10.1016/j.cjca.2021.06.004.
- Virtual (computed) fractional flow reserve (vFFR): future role in acute coronary syndromes. Haley H, Ghobrial M, Mills M, Newman T, Rammohan V, Pederzani G, Lawford P, Hose R, Gunn R, Williams G, Morris P, Gosling R. Frontiers in Cardiovascular Medicine 2021 (accepted).
Possible PhD projects
- The impact of a ‘virtual’ fractional flow reserve calculated from the coronary angiogram upon patient management
More information
Professor Julian Gunn
Email: j.gunn@sheffield.ac.uk
Research profile and key clinical specialties
I am an Interventional Cardiologist at Sheffield Teaching Hospitals, and head the Mathematical Modelling in Medicine group in the Faculty of Medicine at the University of Sheffield.
Our main interest is in making the best therapeutic decisions for patients with coronary artery disease, with an emphasis on computational modelling of blood flow through diseased arteries, in patients with several different conditions. We use angiographic images like the one shown here.
We also have access to a variety of state-of-the-art imaging modalities, strong links with mathematicians, coders, engineers and other interventional cardiology groups.
I have supervised many MD and PhD students in this area, with funding from BHF, MRC, NIHR and Wellcome.
Two key publications
- The impact of virtual fractional flow reserve (vFFR) and virtual coronary intervention (VCI) upon treatment decisions. Gosling R, Morris P, Adam Z, Barmby D, Iqbal J, Morgan K, Richardson J, Rothman A, Lawford P, Hose D, Gunn J. Can J Cardiol 2021 Jun 11;S0828-282X(21)00301-9. doi: 10.1016/j.cjca.2021.06.004.
- Virtual (computed) fractional flow reserve (vFFR): future role in acute coronary syndromes. Haley H, Ghobrial M, Mills M, Newman T, Rammohan V, Pederzani G, Lawford P, Hose R, Gunn R, Williams G, Morris P, Gosling R. Frontiers in Cardiovascular Medicine 2021 (accepted).
Possible PhD projects
- The impact of a ‘virtual’ fractional flow reserve calculated from the coronary angiogram upon patient management
More information
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