My main research interest is image processing in cardiac magnetic resonance imaging, currently I am working on improving ShMOLLI T1 mapping technique.
To calculate T1 map a series of images are combined together. Sometimes, for example when patients cannot hold their breath during the study, the images are not perfectly aligned and the data is disqualified from further analysis. My main task is to develop methods to control the quality of the data and perform motion correction to salvage motion corrupted datasets. To develop necessary tools, I am using advanced image processing algorithms including non-rigid image registration. I am also developing an open source library to standardise calculation of T1 between methods and vendors.
In 2016 I defended my PhD thesis 'Cardiac motion analysis method based on cinematographic MRI' at the Warsaw University of Technology.
Cine dyscontractility index: A novel marker of mechanical dyssynchrony that predicts response to cardiac resynchronization therapy.
Werys K. et al, (2016), J Magn Reson Imaging, 44, 1483 - 1492
Standardized image post-processing of cardiovascular magnetic resonance T1-mapping reduces variability and improves accuracy and consistency in myocardial tissue characterization.
Carapella V. et al, (2019), Int J Cardiol
Biventricular mechanics in prediction of severe myocardial fibrosis in patients with dilated cardiomyopathy: CMR study.
Mazurkiewicz Ł. et al, (2017), Eur J Radiol, 91, 71 - 81
Systolic myocardial volume gain in dilated, hypertrophied and normal heart. CMR study.
Mazurkiewicz Ł. et al, (2017), Clin Radiol, 72, 286 - 292
Block matching and B-spline methods in deformation estimation in synthetic left ventricular model with nontransmural infarction
Zmigrodzki J. et al, (2017), Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 10139
Four-dimensional flow magnetic resonance imaging in hypertrophic obstructive cardiomyopathy.
Śpiewak M. et al, (2017), Kardiol Pol, 75