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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Combined T1-mapping and tissue tracking analysis predicts severity of ischemic injury following acute STEMI-an Oxford Acute Myocardial Infarction (OxAMI) study.
Journal article
Wamil M. et al, (2019), Int J Cardiovasc Imaging
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Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study.
Journal article
Gilbert K. et al, (2019), Sci Rep, 9
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Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher Discriminative 3D CNN.
Journal article
Zhang L. et al, (2018), IEEE Trans Biomed Eng
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Association Between Ambient Air Pollution and Cardiac Morpho-Functional Phenotypes: Insights From the UK Biobank Population Imaging Study.
Journal article
Aung N. et al, (2018), Circulation, 138, 2175 - 2186
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T1 or ECV?: Depends on the Methods.
Journal article
Ferreira VM. and Piechnik SK., (2018), JACC Cardiovasc Imaging
ORCID
0000-0002-0268-5221