Imperial College London

ProfessorDavidFirmin

Faculty of MedicineNational Heart & Lung Institute

Professor of Biomedical Imaging
 
 
 
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Contact

 

+44 (0)20 7351 8801d.firmin

 
 
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Location

 

Cardiovascular MR UnitRoyal Brompton Campus

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Summary

 

Summary

David Firmin is Professor of Biomedical Imaging at the National Heart and Lung Institute, Imperial College London, and the Physics Director of the Royal Brompton Hospitals CMR Unit.

His involvement in Cardiovascular MR began in 1982 and he is one of the founding members of the Royal Brompton Unit which opened in 1984.  His major contribution to MRI has been in the development of quantitative phase contrast velocity imaging.

As the Director of Physics he has also led a number of pioneering advances in atheroma imaging, rapid and interactive cardiovascular MR, coronary angiography, myocardial perfusion imaging and tissue characterisation. 

Professor Firmin has served on many scientific programme committees and in 1999 he organised a highly successful ISMRM Workshop on Flow & Motion in Cardiovascular MR and recently, in recognition of his service, he has been made a Fellow of ISMRM.  He is an Assistant Editor of the Journal of Cardiovascular MR, and a referee for several major international scientific journals, and a former panel member of the Wellcome Trust Infrastructure Grant.

Professor Firmin has more than 350 publications in cardiovascular MR imaging, including over 170 peer reviewed academic journal papers.

Publications

Journals

Zhuang X, Li L, Payer C, et al., 2019, Evaluation of algorithms for multi-modality whole heart segmentation: An open-access grand challenge, Medical Image Analysis, Vol:58, ISSN:1361-8415

Nielles-Vallespin S, Scott A, Ferreira P, et al., 2019, Cardiac Diffusion: Technique and Practical Applications., J Magn Reson Imaging

Khalique Z, Ferreira P, Scott A, et al., Diffusion tensor cardiovascular magnetic resonance: a clinical perspective, Jacc: Cardiovascular Imaging, ISSN:1936-878X

Tayal U, Wage R, Ferreira P, et al., 2019, The feasibility of a novel limited field of view spiral cine DENSE sequence to assess myocardial strain in dilated cardiomyopathy, Magnetic Resonance Materials in Physics, Biology and Medicine, Vol:32, ISSN:0968-5243, Pages:317-329

Zhang N, Yang G, Gao Z, et al., 2019, Deep learning for diagnosis of chronic myocardial infarction on nonenhanced cardiac cine MRI, Radiology, ISSN:0033-8419

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