Abstract #1547

Application of Laplacian-based Methods to Multi-echo Phase Data for Accurate Susceptibility Mapping

Emma Biondetti¹, David L. Thomas², and Karin Shmueli¹

¹Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, ²Leonard Wolfson Experimental Neurology Centre, UCL Institute of Neurology, University College London, London, United Kingdom

In Susceptibility Mapping (SM) using multi-echo gradient-echo phase data, unwrapping and/or background-field removal is often performed using Laplacian-based methods. However, SM pipelines in the literature have applied these methods at different stages. Here, using simulated and acquired images, we compared the performance of three pipelines that apply Laplacian-based methods at different stages. We showed that Laplacian-based methods alter the linearity of the phase over time. We demonstrated that only a processing pipeline that takes this into account, i.e. by fitting the multi-echo data over time to correctly estimate a field map before applying Laplacian-based methods, gives accurate susceptibility values.

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