Contact information
DPhil projects available
Advanced Image Analysis of Cardiovascular Magnetic Resonance T1-maps
Stefan Piechnik
DSc, PhD, MScEE
Associate Professor of Biomedical Imaging
- Head of Advanced Cardiovascular Image Processing
I have approximately 30 years experience in interdisciplinary biomedical research, ranging from mathematical and biophysical modelling, measurement systems and methods design, direct clinical measurements, imaging and estimation using PET, SPECT, and MR, to clinical and self-assessment approaches. Applications include wide range of clinical specialties in Neurosciences (Neurosurgery, Neurology and Psychiatry), Dermatology, Cardiovascular and Internal Medicine. Over the course of my work I co-authored >100 research papers, attracting >6300 citations, resulting in a h-index of 44. My most recent focus is in the clinical application of CMR parametric tissue characterisation techniques, in particular T1 mapping.
Key publications
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Inflammatory bowel disease and myocarditis: T1-mapping the heart of the problem.
Journal article
Carande EJ. et al, (2017), Eur Heart J Cardiovasc Imaging, 18
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Splenic T1-mapping: a novel quantitative method for assessing adenosine stress adequacy for cardiovascular magnetic resonance.
Journal article
Liu A. et al, (2017), J Cardiovasc Magn Reson, 19
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Seeing Beyond the Obvious: Subclinical Cardiac Sarcoidosis Revealed by Cardiovascular Magnetic Resonance Mapping.
Journal article
Ferreira VM. and Piechnik SK., (2016), Circ Cardiovasc Imaging, 9
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Ultrafast Magnetic Resonance Imaging for Iron Quantification in Thalassemia Participants in the Developing World: The TIC-TOC Study (Thailand and UK International Collaboration in Thalassaemia Optimising Ultrafast CMR).
Journal article
Abdel-Gadir A. et al, (2016), Circulation, 134, 432 - 434
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Breast Milk Consumption in Preterm Neonates and Cardiac Shape in Adulthood.
Journal article
Lewandowski AJ. et al, (2016), Pediatrics, 138
Recent publications
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Standardized image post-processing of cardiovascular magnetic resonance T1-mapping reduces variability and improves accuracy and consistency in myocardial tissue characterization.
Journal article
Carapella V. et al, (2019), Int J Cardiol
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Identification of Myocardial Disarray in Patients With Hypertrophic Cardiomyopathy and Ventricular Arrhythmias.
Journal article
Ariga R. et al, (2019), J Am Coll Cardiol, 73, 2493 - 2502
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Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.
Journal article
Attar R. et al, (2019), Med Image Anal, 56, 26 - 42
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The Effect of Blood Composition on T1 Mapping.
Journal article
Rosmini S. et al, (2019), JACC Cardiovasc Imaging
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Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study.
Journal article
Robinson R. et al, (2019), J Cardiovasc Magn Reson, 21
ORCID
0000-0002-0268-5221