Summary
Sonia Nielles-Vallespin is a Senior Lecturer of Cardiovascular Magnetic Resonance physics at the National Heart and Lung Institute, Imperial College London. With over 17 years experience in MRI research, Dr Nielles-Vallespin has worked in academia, industry, and government research settings, in Germany, United Kingdom and USA.
Her research interests lie in CMR, specifically in vivo Diffusion Tensor CMR (DT-CMR) to study the microstructural dynamics of cardiac contraction. In vivo DT-CMR offers huge potential for technical innovation and it may provide novel insights into microstructural abnormalities of regional cardiac function inaccessible by any currently available clinical test.
Dr Nielles-Vallespin has served on many scientific program committees and is currently the Chair of the International Society of Magnetic Resonance in Medicine (ISMRM) Cardiac Working Group. She regularly lectures at the ISMRM and the Society of Cardiovascular Magnetic Resonance (SCMR) meetings.
Dr Nielles-Vallespin is active in postgraduate teaching and supervision at Imperial and teaches regularly at international conferences.
Publications
Journals
Alemany I, Rose JN, Ferreira PF, et al., 2023, Realistic numerical simulations of diffusion tensor cardiovascular magnetic resonance: The effects of perfusion and membrane permeability., Magn Reson Med, Vol:90, Pages:1641-1656
Ferreira PF, Banerjee A, Scott AD, et al., 2022, Accelerating Cardiac Diffusion Tensor Imaging With a U-Net Based Model: Toward Single Breath-Hold, Journal of Magnetic Resonance Imaging, Vol:56, ISSN:1053-1807, Pages:1691-1704
Tanzer M, Ferreira P, Scott A, et al., 2022, Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction, Medical Image Understanding and Analysis, Miua 2022, Vol:13413, ISSN:0302-9743, Pages:101-115
Tänzer M, Yook SH, Ferreira P, et al., 2022, Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal, Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol:13593 LNCS, ISSN:0302-9743, Pages:123-132