CHIMERA seminar with Ryo Torii

02 June 2023, 10:00 am–11:00 am

Chimera Seminar Series

Computational fluid dynamics for coronary heart disease: model complexity and patient data integration

This event is free.

Event Information

Open to







Alice Hardy


Zoom webinar

Computational fluid dynamics (CFD) based on patients’ imaging and other clinical data is increasingly becoming a common tool in tackling clinical problems. Coronary artery atherosclerotic disease – one of the biggest killers of the world – is the area where CFD is utilised most intensively, some of which have been adopted in clinical workflow as patient stratification tool. However, there are still open questions regarding the adequate level of model complexity, in relation to the data availability and integration, and speed of analysis. In this talk, CFD analyses of coronary artery haemodynamics will be discussed in 3 different levels of model complexity and patient data integration: (1) angiogram-based analysis to predict major adverse cardiovascular events in large patient cohorts, (2) CT-based fractional flow reserve analysis with fine-tuned hyperaemic conditions and (3) impact of stents and cardiac-induced wall motion on haemodynamics. Towards the end, our recent effort to accelerate the analysis using machine learning will also be introduced. Through these, the challenges involved in such studies will be highlighted and we will discuss how we may effectively set the model complexity to the required output.

About the Speaker

Professor Ryo Torii

at UCL Mechanical Engineering

Ryo Torii is Professor of Biomechanics at UCL Department of Mechanical Engineering, specialising in the integration of computational biomechanics and in vivo imaging for clinical applications. His research is motivated by the desire to comprehend the mechanical factors that contribute to the cardiovascular system's health, disease, and post-operative conditions, specifically related to coronary artery atherosclerosis. He has been developing computational methods and tools that use clinically acquired data, and to underpin clinical research and practice. He has also been developing platforms to validate modelling tools, and to fuse experimental data into modelling towards data-driven computational analyses. Tools from his group facilitated large-scale clinical studies using CFD primarily in collaboration with Bart’s Heart Centre. With his long-term contributions to translate computational methods in clinical activities, he has been playing key roles in national (Bart’s Cardiovascular Devices Hub, https://cvdhub.co.uk/) and international medico-engineering consortia (Gijsen et al. Eur Heart J 40, 2019).