DELIMIT PyTorch - An extension for Deep Learning in Diffusion Imaging

Simon Koppers; Dorit Merhof

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arXiv · 1808.01517

DELIMIT PyTorch - An extension for Deep Learning in Diffusion Imaging

Simon Koppers·Dorit Merhof

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Abstract

DELIMIT is a framework extension for deep learning in diffusion imaging, which extends the basic framework PyTorch towards spherical signals. Based on several novel layers, deep learning can be applied to spherical diffusion imaging data in a very convenient way. First, two spherical harmonic interpolation layers are added to the extension, which allow to transform the signal from spherical surface space into the spherical harmonic space, and vice versa. In addition, a local spherical convolution layer is introduced that adds the possibility to include gradient neighborhood information within the network. Furthermore, these extensions can also be utilized for the preprocessing of diffusion signals.

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Simon Koppers, Dorit Merhof. 2018-08-04. DELIMIT PyTorch - An extension for Deep Learning in Diffusion Imaging. https://arxiv.org/abs/1808.01517

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