Cardiac MRI Analyst
I work in AVIC as a cardiac MRI analyst. My research focuses on identification of biomarkers that predict left ventricle recovery after acute myocardial infarction using different techniques of Cardiovascular Magnetic Resonance (CMR) imaging.
In the OXAMI (Oxford Acute Myocardial Infarction) study, we are exploring the utility of CMR parametric mapping techniques and blood flow quantification to assess myocardial viability. During my PhD I worked on a new technique to determine the arterial stiffness in humans non-invasively and I investigated the potential use of new 1D mathematical models to describe wave propagations in arteries.
Impaired myocardial healing in patients with diabetes after ST-Elevation Myocardial Infarction
Wamil M. et al, (2019), EUROPEAN HEART JOURNAL, 40, 2666 - 2666
Myocardial scar quantification using SLIC supervoxels - parcellation based on tissue characteristic strains
Popescu IA. et al, (2017), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10124 LNCS, 182 - 190
Reservoir and reservoir-less pressure effects on arterial waves in the canine aorta.
Borlotti A. et al, (2015), J Hypertens, 33, 564 - 574
Experimental evaluation of local wave speed in the presence of reflected waves.
Borlotti A. et al, (2014), J Biomech, 47, 87 - 95
Noninvasive determination of local pulse wave velocity and wave intensity: changes with age and gender in the carotid and femoral arteries of healthy human.
Borlotti A. et al, (2012), J Appl Physiol (1985), 113, 727 - 735