CoronaryAtlas

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Invited Talk by Dr. Susann Beier

Dr. Susann Beier
UNSW, Australia

  • Date: Friday, July 5th, 2019
  • Time: 1 PM
  • Location: MI 03.13.010


The Coronary Atlas

Abstract: The coronary atlas is the largest collection of processed coronary angiogram images. Together with computational modelling, shape analysis and benchtop experiments these can reveal unique insights into our individual differences and why generic coronary artery disease treatment methods won’t always work. This thus not only forms a platform for optimising existing strategies but opens entire new pathways for preventive strategies through early prediction with medical biomarkers.

Bio: Susann is originally from Germany where she completed her undergraduate degree whilst working as a research assistant at the Karlsruhe Institute of Technology. After her undergraduate she worked as a Research Engineer at the University of Auckland, New Zealand where she was leading international R&D projects from clients around the world. After completing her master’s in Chemical and Materials Engineering she decided to combine and apply her knowledge to the biomedical space whereby she embarked on a PhD? at the University of Auckland. Since then, her research explores the fluid dynamics at underpin cardiovascular disease to understand biological processes and improve clinical interventions. Her work directly translates to emerging and existing areas such as personalised stenting, 3D realistic printing and population profiling. She now started her own lab as Lecturer in Biofluids at the University of New South Wales (UNSW) in Sydney Australia.

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Title: The Coronary Atlas
Date: 5 July 2019
Location: MI 03.13.010
Abstract: The coronary atlas is the largest collection of processed coronary angiogram images. Together with computational modelling, shape analysis and benchtop experiments these can reveal unique insights into our individual differences and why generic coronary artery disease treatment methods won’t always work. This thus not only forms a platform for optimising existing strategies but opens entire new pathways for preventive strategies through early prediction with medical biomarkers.
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