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DELIMIT is a framework extension for deep learning in diffusion imaging,which extends the basic framework PyTorch towards spherical signals. Based onseveral novel layers, deep learning can be applied to spherical diffusionimaging data in a very convenient way. First, two spherical harmonicinterpolation layers are added to the extension, which allow to transform thesignal from spherical surface space into the spherical harmonic space, and viceversa. In addition, a local spherical convolution layer is introduced that addsthe possibility to include gradient neighborhood information within thenetwork. Furthermore, these extensions can also be utilized for thepreprocessing of diffusion signals.

DELIMIT PyTorch - An extension for Deep Learning in Diffusion Imaging