Does one size fit all? Reconstructing crossing fibers in diffusion MRI using 
spherical deconvolution with local response functions

Eichner, Cornelius; Paquette, Michael; Gerbeth, Hannah; Jäger, Carsten; Bock, Christian; Gallardo, Guillermo; Möller, Torsten; Crockford, Catherine; Wittig, Roman; Weiskopf, Nikolaus; Friederici, Angela D.; Anwander, Alfred

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Does one size fit all? Reconstructing crossing fibers in diffusion MRI using spherical deconvolution with local response functions

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Eichner, Cornelius
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Paquette, Michael
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Gerbeth, Hannah
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Jäger, Carsten
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Gallardo, Guillermo
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Weiskopf, Nikolaus
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Friederici, Angela D.
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Anwander, Alfred
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Eichner, C., Paquette, M., Gerbeth, H., Jäger, C., Bock, C., Gallardo, G., et al. (2022). Does one size fit all? Reconstructing crossing fibers in diffusion MRI using spherical deconvolution with local response functions. Poster presented at 31st Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), London, United Kingdom.

Cite as: https://hdl.handle.net/21.11116/0000-000B-409F-A

Abstract

We present Local Spherical Deconvolution (LSD), a diffusion MRI deconvolution method to reconstruct crossing fiber directions in the brain. In contrast to previous approaches which assumed a single deconvolution kernel for the entire brain, LSD utilizes information theory to identify an optimal kernel in each image voxel. Using a high-resolution post-mortem chimpanzee brain, we show that fibers are reconstructed with LSD with increased precision and a reduced number of false peaks compared to conventional methods. A test-retest analysis supports the stability and accuracy of LSD.