Contact information
DPhil projects available
Myocardial functional T1 mapping – Advanced cardiac magnetic resonance imaging techniques
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 ~10'000 citations, resulting in a h-index of 53. My most recent focus is in the clinical application of CMR parametric tissue characterisation techniques, in particular T1 mapping.
Key publications
-
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
-
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
-
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
-
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
-
Breast Milk Consumption in Preterm Neonates and Cardiac Shape in Adulthood.
Journal article
Lewandowski AJ. et al, (2016), Pediatrics, 138
Recent publications
-
Cardiovascular magnetic resonance reference values of mitral and tricuspid annular dimensions: the UK Biobank cohort
Journal article
Ricci F. et al, (2021), Journal of Cardiovascular Magnetic Resonance, 23
-
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping.
Journal article
Hann E. et al, (2021), Med Image Anal, 71
-
Adverse cardiovascular magnetic resonance phenotypes are associated with greater likelihood of incident coronavirus disease 2019: findings from the UK Biobank.
Journal article
Raisi-Estabragh Z. et al, (2021), Aging Clin Exp Res
-
Cardiovascular magnetic resonance stress and rest T1-mapping using regadenoson for detection of ischemic heart disease compared to healthy controls.
Journal article
Burrage MK. et al, (2021), Int J Cardiol
-
Quality assurance of quantitative cardiac T1-mapping in multicenter clinical trials - A T1 phantom program from the hypertrophic cardiomyopathy registry (HCMR) study.
Journal article
Zhang Q. et al, (2021), Int J Cardiol
ORCID
0000-0002-0268-5221