Abstract #0026

An illustrated comparison of background field elimination methods for phase MRI and QSM

Ferdinand Schweser^1,2, Wei Li³, Hongfu Sun⁴, Dong Zhou⁵, Nicola Bertolino¹, Paul Polak¹, Yi Wang⁵, Alan H Wilman⁴, Kristian Bredies⁶, Robert Zivadinov¹, and Simon Daniel Robinson⁷

¹Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, The State University of New York at Buffalo, Buffalo, NY, United States, ²MRI Molecular and Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, The State University of New York at Buffalo, Buffalo, NY, United States, ³Research Imaging Institute, The University of Texas Health Science Center, San Antonio, TX, United States, ⁴Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, ⁵Department of Radiology, Weill Cornell Medical College, New York, NY, United States, ⁶Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria, ⁷High Field MR Center of Excellence, Department of Radiology, Medical University of Vienna, Vienna, Austria

Elimination of background fields is an essential step in phase MRI and QSM, with many different approaches proposed over the past years. However, it is currently unclear how the various methods perform relative to each other and what their respective strengths and weaknesses are, because a multi-center quantitative comparison of all techniques has not yet been carried out.

In this work we quantitatively compare inverse Laplace filtering, SHARP , V-SHARP, iSMV , LBV, HARPERELLA, iHARPERELLA, PDF, and RE-SHARP in a collaborative effort.

The background correction performance was similar with all methods, with iSMV and LBV yielding the best results.

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