Motion Artifact Reduction Using a Convolutional Neural Network for Dynamic Contrast Enhanced MR Imaging of the Liver

Podobne zapisy

• Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning–based filter using convolutional neural network
  od: Kromrey, M.-L., i wsp.
  Wydane: (2020)
• Clinical Evaluation of Respiratory-triggered 3D MRCP with Navigator Echoes Compared to Breath-hold Acquisition Using Compressed Sensing and/or Parallel Imaging
  od: Kromrey, Marie-Luise, i wsp.
  Wydane: (2019)
• Accelerated Acquisition of High-resolution Diffusion-weighted Imaging of the Brain with a Multi-shot Echo-planar Sequence: Deep-learning-based Denoising
  od: Kawamura, Motohide, i wsp.
  Wydane: (2020)
• Utility of Stack-of-stars Acquisition for Hepatobiliary Phase Imaging without Breath-holding
  od: Ichikawa, Shintaro, i wsp.
  Wydane: (2019)
• Measurement of Cerebrospinal Fluid Flow Dynamics Using Phase Contrast MR Imaging with Bilateral Jugular Vein Compression: A Feasibility Study in Healthy Volunteers
  od: Ichikawa, Shintaro, i wsp.
  Wydane: (2017)