Abstract #3164

The effect of noise on myelin assessment by multi-exponential fitting for varying white matter fibre geometries

Tonima S Ali¹, Vaibhavi S Itkyal^1,2, Kiran Thapaliya^1,3, and Markus Barth^1,2,3

¹University of Queensland, Brisbane, Australia, ²Indian Institute of Technology, Madras, India, ³Griffith University, Gold Coast, Australia

The use of multi-echo gradient echo (mGRE) with signal compartment modelling is an increasingly popular choice for myelin assessment by measuring myelin T2* (T2*_My), myelin water fraction (MWF) and g-ratio. In this simulation study, we show the effects of varying white matter microstructure and noise levels on GRE and the efficiency of commonly used fitting algorithms for predicting the true T2*_My, MWF and g-ratio.

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