Abstract #0877
Does One Size Fit All? Reconstructing Crossing Fibers in Diffusion MRI using Spherical Deconvolution with Local Response Functions
Cornelius Eichner1, Michael Paquette1, Hannah Gerbeth1, Carsten Jäger2, Christian Bock3, Guillermo Gallardo1, Torsten Möller4, Catherine Crockford5,6, Roman Wittig6, Nikolaus Weiskopf2,7, Angela D Friederici1, and Alfred Anwander1
1Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany, 4Kolmården Wildlife Park, Norrköping, Sweden, 5CNRS Institute of Cognitive Sciences, Lyon, France, 6Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, 7Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany
Synopsis
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.
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