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Showing 1 to 3 of 3 for “"Super resolution reconstruction"”.

  1. EVALUATION OF INTERPOLATION AND REGISTRATION TECHNIQUES IN MAGNETIC RESONANCE IMAGE FOR ORTHOGONAL PLANE SUPER RESOLUTION RECONSTRUCTION

    Super resolution reconstruction (SRR) combines several perspectives of an image (typically low resolution) in order to reconstruct a more complete and comprehensive (higher resolution) image. The aim is to use this concept on magnetic resonance imaging (MRI) data, for which the standard is to scan …

    ohiolink Repository record for EVALUATION OF INTERPOLATION AND REGISTRATION TECHNIQUES IN MAGNETIC RESONANCE IMAGE FOR ORTHOGONAL PLANE SUPER RESOLUTION RECONSTRUCTION (opens in a new tab)

  2. Closure Modeling for Accelerated Multiscale Evolution of a 1-Dimensional Turbulence Model

    … recurrent neural network to perform super-resolution reconstruction of the velocity field from lower-dimensional energy spectrum data, enabling seamless transitions between fine and coarse levels of description. The proposed multiscale-machine learning framework significantly …

    vt Repository record for Closure Modeling for Accelerated Multiscale Evolution of a 1-Dimensional Turbulence Model (opens in a new tab)

  3. A Robust and Efficient Framework for Slice-to-Volume Reconstruction: Application to Fetal MRI

    Volumetric reconstruction in presence of motion is a challenging problem in medical imaging. When imaging moving targets, many modalities are limited to fast 2D imaging techniques that provide cross-sectional snapshots (2D images) of the subject with an attempt to "freeze'' in-plane motion. …

    mit Repository record for A Robust and Efficient Framework for Slice-to-Volume Reconstruction: Application to Fetal MRI (opens in a new tab)