Imperial College London

DrPedroFerreira

Faculty of MedicineNational Heart & Lung Institute

Honorary Research Fellow
 
 
 
//

Contact

 

p.f.ferreira05 CV

 
 
//

Location

 

Sydney StreetRoyal Brompton Campus

//

Summary

 

Summary

I am a Senior Image Processing and Data Scientist based at the Cardiovascular Magnetic Resonance unit, Royal Brompton Hospital. I have a background in Physics and Mathematics, a PhD in MRI Physics (Imperial College :: London), and an extensive experience in MRI research.

Since 2012, I have been working closely with a team of physicists and clinicians in diffusion tensor cardiovascular magnetic resonance (DT-CMR). It is a novel technique for the investigation of the 3-dimensional microstructure of the heart in-vivo. We aim to improve the understanding of how the healthy heart functions as well as how microstructural dysfunction contributes to disease.

I am focused on creating specialised tools to perform data analysis, image processing, and data visualisation, with a recent interest in finding solutions with AI.


Left ventricle tractography


Highlights



We developed and validated a fully automated postprocessing framework for in vivo diffusion tensor cardiac magnetic resonance (DT-CMR) data powered by deep learning semantic segmentation (TensorFlow):

  • U-Net architecture
  • Proposed fully automated post-processing pipeline


We published in vivo studies showing that secondary directions of diffusion align with the laminar organisation of cardiomyocytes in the heart, and that cardiomyopathy hearts present impaired mobility:

sheetlet rotation


 Previous academic education:

  • 2005 - 2009: PhD in Myocardial Perfusion Imaging with MR, Imperial College, London, UK.
  • 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.

Publications

Journals

Ferreira PF, Martin RR, Scott AD, et al., 2020, Automating in vivo cardiac diffusion tensor postprocessing with deep learning-based segmentation, Magnetic Resonance in Medicine, Vol:84, ISSN:0740-3194, Pages:2801-2814

Le B, Ferreira P, Merchant S, et al., 2020, Microarchitecture of the hearts in term andformer-pretermlambs using diffusion tensor imaging, Anatomical Record-advances in Integrative Anatomy and Evolutionary Biology, Vol:304, ISSN:1932-8486, Pages:803-817

Nielles-Vallespin S, Scott A, Ferreira P, et al., 2020, Cardiac Diffusion: Technique and Practical Applications, Journal of Magnetic Resonance Imaging, Vol:52, ISSN:1053-1807, Pages:348-368

Khalique Z, Ferreira P, Scott A, et al., 2020, Diffusion tensor cardiovascular magnetic resonance: a clinical perspective, Jacc: Cardiovascular Imaging, Vol:13, ISSN:1936-878X, Pages:1235-1255

Khalique Z, Ferreira PF, Scott AD, et al., 2020, Diffusion tensor cardiovascular magnetic resonance in cardiac amyloidosis, Circulation: Cardiovascular Imaging, Vol:13, ISSN:1941-9651

More Publications