Abstract #0511

Robust Correction of Frequency and Phase Errors in Edited MRS Data

Mark Mikkelsen^1,2, Jamie Near³, Muhammad G. Saleh^1,2, Stewart H. Mostofsky^4,5,6, Nicolaas A. J. Puts^1,2, and Richard A. E. Edden^1,2

¹Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, ²F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, ³Douglas Mental Health University Institute and Department of Psychiatry, McGill University, Montreal, QC, Canada, ⁴Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States, ⁵Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, ⁶Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States

MRS data are subject to shot-to-shot frequency and phase errors that often arise from B₀ field drift and participant motion. These result in misalignment of individual subspectra, leading to signal loss and—in the case of J-difference editing—subtraction artifacts. Here, we present a frequency-and-phase correction algorithm, built upon the time-domain-based spectral registration method, that is robust against alignment errors resulting from large B₀ field drift, substantial head motion and strong lipid contamination. The method has the same strengths as standard spectral registration but outperforms it in challenging cases and is applicable to multiplexed edited MRS data.

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