Imperial College London


Faculty of MedicineNational Heart & Lung Institute

Honorary Research Fellow







1325Sydney StreetRoyal Brompton Campus





Pedro Ferreira is currently a research associate at PCIF. PCIF supports biomedical investigation for a wide variety of multidisciplinary studies by offering multimodal imaging facilities including: an MR scanner; a PET-CT scanner; and an X-ray angiography system. Pedro's work involves the development and implementation of MR imaging sequences and establishing experimental design and data processing techniques for the proposed MR projects. He is also responsible for the day-to-day scanning/maintenance of the MR system.

In 2010, Pedro was awarded a PhD in the topic of MR myocardial perfusion imaging under the supervision of Prof. David Firmim and Dr. Peter Gatehouse. The work was funded by the British Heart Foundation and based at the Royal Brompton Hospital, Imperial College London.

 Previous academic education:

  • 2004-2005:MSc in Medical Engineering and Physics, King’s College, University of London, UK.
  • 1998-2004: First Degree in Physics / Applied Mathematics (Astrophysics), Faculty of Sciences, University of Porto, Portugal



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

Stoeck CT, Scott AD, Ferreira PF, et al., 2019, Motion-induced signal loss in In vivo cardiac diffusion-weighted imaging, Journal of Magnetic Resonance Imaging, ISSN:1053-1807

Rose JN, Nielles-Vallespin S, Ferreira PF, et al., 2019, Novel insights into in-vivo diffusion tensor cardiovascular magnetic resonance using computational modelling and a histology-based virtual microstructure, Magnetic Resonance in Medicine, Vol:81, ISSN:0740-3194, Pages:2759-2773

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