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

Szczepankiewicz, F., Eichner, C., Anwander, A., Westin, C.-F., & Paquette, M. (2020). The impact of gradient non-linearity on Maxwell compensation when using asymmetric gradient waveforms for tensor-valued diffusion encoding. Poster presented at 28th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Virtual Conference.

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 Creators:
Szczepankiewicz, Filip, Author
Eichner, Cornelius1, Author              
Anwander, Alfred1, Author              
Westin, Carl-Fredrik, Author
Paquette, Michael1, Author              
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1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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 Abstract: 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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 Dates: 2020-08-08
 Publication Status: Not specified
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Title: 28th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM)
Place of Event: Virtual Conference
Start-/End Date: 2020-08-08 - 2020-08-14

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