Established Methods and Innovative Approaches in Cardiovascular Fluid Dynamics

TOPICAL COLLECTIONS

Guest Editor

Susann Beier

University of New South Wales (UNSW)

Susann’s expertise lies in the areas of experimental and computational fluid dynamics and mechanics for personalised cardiovascular health considerations. Having a broad educational background spanning across mechanical, chemical, and materials and biomedical engineering, her research and development work encompasses several areas at the interfield of medicine, engineering, and computer sciences. She is the Head of the Sydney Vascular Modelling Group at the University of New South Wales and leads the global Coronary Atlas project, driving personalised coronary artery treatment. With her team she creates diverse knowledge to develop innovative methods to understand coronary artery mechanisms including disease, to optimise medical devices and their implant strategies, and to identify novel biomarkers. Susann has received numerous awards including the Cardiovascular Innovations Award by the Cardiac Society of Australia and New Zealand and was named Research Fellow of the New Zealand Heart Foundation. Her work has resulted in more than $2 million in funding, and a large number of invited keynote presentations, high-impact clinical and engineering publications, book chapters, and proceedings to date.

Collection Overview

Coronary artery disease remains one of the leading global killers to date. Due to its integrated nature and ethical concerns, experimental and computational techniques continue to be leading methods in the attempt to elucidate cardiovascular disease mechanisms and, as a result, to better assess patient risk and inform treatment options.

This collection aims to provide original insights into emerging, innovative, and state-of-the-art methods across experimental and computational approaches to generate new understanding of cardiovascular fluid dynamics. This may include the consideration of pulsatile flow, advanced boundary conditions, personalisation, and wall shear stress and pressure. Emphasis will be given to new concepts or new combinations of methods with ideally clear translation pathways and large-scale or towards patient-specific insights. This methods collection will therefore be multi-disciplinary across relevant cutting edge research fields including in vitro, machine learning, and advanced computational methods. The collection will be at the forefront of peer-reviewed methods driving new fundamental research and clinical practice in the management and treatment of cardiovascular disease.