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Showing 1 to 2 of 2 for “"MR image reconstruction"”.

  1. POCS Augmented CycleGAN for MR Image Reconstruction

    Traditional Magnetic Resonance Imaging (MRI) reconstruction methods, which may be highly time-consuming and sensitive to noise, heavily depend on solving nonlinear optimization problems. By contrast, deep learning (DL)-based reconstruction methods do not need any explicit analytical data model and …

    temple Repository record for POCS Augmented CycleGAN for MR Image Reconstruction (opens in a new tab)

  2. Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction

    … associated with multi-channel sampling and reconstruction that pertain to parallel magnetic resonance imaging (pMRI). The first part of this dissertation addresses adaptive design of spatio-temporal acquisition and reconstruction in model-based pMRI wherein the signal model is a sparse …

    uiuc Repository record for Distortion-optimal parallel MRI with sparse sampling: from adaptive spatio-temporal acquisition to self-calibrating reconstruction (opens in a new tab)