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Abstract #2600

How Shaky is MRE? Bootstrap & Monte Carlo Analysis of Reliability

Geng Guangqiang1, Lynne Bilston1,2, Ralph Sinkus3, Roland Henry4, Caroline Rae1,5

1Neuroscience Research Australia, Sydney, NSW, Australia; 2Prince of Wales Clinical School, UNSW, Sydney, Australia; 3Centre de Recherches Biomdicales Bichat-Beaujon, Paris, France; 4Departments of Radiology & Biomedical Imaging, Neurology, & Bioengineering Graduate Group, University of California, San Francisco, United States; 5UNSW, Syndey, Australia

Magnetic resonance elastography (MRE) measures the mechanical properties of variable biological tissues in vivo. Understanding of error propagation through the complex MRE reconstruction algorithms is necessary to determine the uncertainty of calculated elasticity values and the impact of different acquisition and modelling methods. We have quantified the accuracy and precision in simulated and real human brain MRE data through Monte Carlo simulations and wild bootstrap algorithm. The RMSE are low both with homoscedastic and heteroscedastic noise, which indicates high accuracy and precision of MRE reconstruction. Bootstrapping techniques are a promising method for evaluating reliability of MRE estimates of elasticity.