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Abstract #2084

Automatic and robust background phase correction on phase-contrast MRI using M-estimate SAmple Consensus (MSAC)

Carola Fischer1, Jens Wetzl1, Tobias Schäffter2,3,4, and Daniel Giese1
1Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany, 2Physikalisch-Technische-Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 3Department of Medical Imaging, Technical University of Berlin, Berlin, Germany, 4School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom

Background phase correction is necessary to correctly quantify flow velocity values from 2D phase-contrast MR images. However, typically used static tissue correction is susceptible to wrap-around resulting in even larger quantification errors. In this work, we successfully implemented a robust and automatic background phase correction algorithm based on M-estimate Sample Consensus (MSAC). MSAC achieves robust results over wide ranges of its few parameters. Based on 49 phase-contrast time series with and without wrap-around, MSAC reduced the average root-mean-squared error from 1.71±0.34cm/s (static fit correction) to 0.78±0.07cm/s (MSAC) in presence of wrap-around.

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