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Abstract #3391

The impact of gradient non-linearity on Maxwell compensation when using asymmetric gradient waveforms for tensor-valued diffusion encoding

Filip Szczepankiewicz1,2,3, Cornelius Eichner4, Alfred Anwander4, Carl-Fredrik Westin1,2, and Michael Paquette4
1Harvard Medical School, Boston, MA, United States, 2Radiology, Brigham and Women's Hospital, Boston, MA, United States, 3Clinical Sciences Lund, Lund University, Lund, Sweden, 4Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

Gradient non-linearity distorts the shape of the gradient waveform used for diffuison encoding. This distortion also compromises Maxwell compensation in asymmetric gradient waveforms. We show that one of two strategies for Maxwell compensation fails under non-linear gradiets (K-nulling) whereas M-nulling is immune to this effect.

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