Contact information
DPhil projects available
Myocardial functional T1 mapping – Advanced cardiac magnetic resonance imaging techniques
Stefan K Piechnik
DSc, PhD, MScEE, FSCMR
Associate Professor of Biomedical Imaging
- Head of Advanced Cardiovascular Image Processing
Over the past 30+ years, I have applied my engineering background to interdisciplinary biomedical research, including mathematical and biophysical modelling, measurement systems and methods design, direct clinical measurements, imaging and estimation using PET, SPECT, and MR, and the 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 7 patent applications, >340 research articles, attracting >13'000 citations, resulting in a h-index of 62 . My most recent focus is in the clinical application of CMR parametric tissue characterisation techniques, in particular T1 mapping, big data and the related applications of artificial intelligence.
Recent publications
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Genome-wide association analysis reveals insights into the genetic architecture of right ventricular structure and function.
Journal article
Aung N. et al, (2022), Nat Genet, 54, 783 - 791
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Improving robustness of automatic cardiac function quantification from cine magnetic resonance imaging using synthetic image data.
Journal article
Gheorghiță BA. et al, (2022), Sci Rep, 12
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Light to moderate coffee consumption is associated with lower risk of death: a UK Biobank study.
Journal article
Simon J. et al, (2022), Eur J Prev Cardiol
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Predictors of Major Atrial Fibrillation Endpoints in the National Heart, Lung, and Blood Institute HCMR.
Journal article
Kramer CM. et al, (2021), JACC Clin Electrophysiol, 7, 1376 - 1386
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Endogenous T1ρ cardiovascular magnetic resonance in hypertrophic cardiomyopathy.
Journal article
Thompson EW. et al, (2021), J Cardiovasc Magn Reson, 23
ORCID
0000-0002-0268-5221