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Computational Modelling of 4D Flow MRI Data

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posted on 11.06.2020, 22:57 by ABDUL MATEEN QADRI
In this thesis, time-resolved cardiac magnetic resonance imaging data is processed with the aim of developing novel markers of cardiac disease. In the first approach, the amount of time “virtual” particles take to transit the left ventricle is used as a basis for comparison, and seen to agree well, with current diagnostic measures, such as the fraction of blood expelled in each heartbeat. In the second approach, a computational 3D model is developed that allows the blood flow within the chamber to be visualised in greater detail.


Campus location


Principal supervisor

Mark Christopher Thompson

Additional supervisor 1

Murray Rudman

Additional supervisor 2

Andrew Taylor

Year of Award


Department, School or Centre

Mechanical and Aerospace Engineering


Master of Engineering Science (Research)

Degree Type