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Computational Modelling of 4D Flow MRI Data

Authors: QADRI, ABDUL MATEEN;

Computational Modelling of 4D Flow MRI Data

Abstract

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.

Keywords

Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics), Biomedical engineering not elsewhere classified, Mechanical Engineering, 90499 Chemical Engineering not elsewhere classified, FOS: Mechanical engineering, 90399 Biomedical Engineering not elsewhere classified, FOS: Medical engineering, Chemical engineering not elsewhere classified, FOS: Other engineering and technologies, Mechanical engineering not elsewhere classified, 91501 Computational Fluid Dynamics, FOS: Chemical engineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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