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Abstract #1020

In Silico Evaluation of Magnetic Resonance Elastography of the Kidney

Deirdre McGrath1, Christopher Bradley1, and Susan Francis1
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom

The accuracy of clinical magnetic resonance elastography (MRE) is difficult to determine. Finite element modelling (FEM) simulation allows evaluation of the errors on acquired MRE measures, and also informs methodological optimisation. In this study kidney MRE is simulated using an anthropomorphic personalised model of the kidneys, and simulated data is compared with a 2D GRE MRE acquisition of the same volunteer on whom the model was based. The optimum MRE imaging resolution was identified, and through adding simulated noise to the FEM data, errors were estimated for the acquired MRE data, and recommendations made for kidney MRE optimisation.

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