5 papers
Machine-Learning Based Detection of Coronary Artery Calcification Using Synthetic Chest X-Rays
Dylan Saeed, Ramtin Gharleghi, Susann Beier +1
Coronary artery calcification (CAC) is a strong predictor of cardiovascular events, with CT-based Agatston scoring widely regarded as the clinical gold standard. However, CT is cos…
Are Ultrathin Stents Optimal for Bifurcation Lesions? Insights from Computational Modelling of Provisional and DK-Crush Techniques
Andrea Colombo, Dario Carbonaro, Mingzi Zhang +7
Complex coronary bifurcation lesions remain challenging in percutaneous coronary intervention, with stent design and deployment strategy influencing clinical outcomes. This study c…
LWT-ARTERY-LABEL: A Lightweight Framework for Automated Coronary Artery Identification
Shisheng Zhang, Ramtin Gharleghi, Sonit Singh +4
Coronary artery disease (CAD) remains the leading cause of death globally, with computed tomography coronary angiography (CTCA) serving as a key diagnostic tool. However, coronary…
The Anatomy of Coronary Risk: How Artery Geometry Shapes Coronary Artery Disease through Blood Flow Haemodynamics -- Latest Methods, Insights and Clinical Implications
C. Shen, M. Zhang, H. Keramati +13
Despite tremendous advances in cardiovascular medicine, significant opportunities remain to improve coronary artery disease (CAD) prevention and treatment strategies. The key limit…
Reliability of characterising coronary artery flow with the flow-split outflow strategy: comparison against the multiscale approach
Mingzi Zhang, Hamed Keramati, Ramtin Gharleghi +1
In computational modelling of coronary haemodynamics, imposing patient-specific flow conditions is paramount, yet often impractical due to resource and time constraints, limiting t…