Abstract #3391

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

Filip Szczepankiewicz^1,2,3, Cornelius Eichner⁴, Alfred Anwander⁴, Carl-Fredrik Westin^1,2, 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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