Unsupervised Deep Learning for Susceptibility Distortion Correction in Connectome Imaging

medical image computing and computer assisted intervention, pp. 302-310, 2020.

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To reduce the residual distortion in high resolution diffusion MRI (dMRI) data preprocessed by the HCP-Pipeline, we propose an unsupervised deep learning based method to correct the residual susceptibility induced distortion. Instead of using B0 images from two phase encoding (PE), fiber orientation distribution (FOD) images computed from...More



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