FD-Net: An unsupervised deep forward-distortion model for susceptibility artifact correction in EPI.

Abdallah Zaid Alkilani Tolga Çukur Emine Ulku Saritas

Published in: Magnetic resonance in medicine (2023)

The unsupervised FD-Net method introduces a deep forward-distortion approach to enable fast, high-fidelity correction of susceptibility artifacts in EPI by maintaining consistency to measured data. Therefore, it holds great promise for improving the anatomical accuracy of EPI imaging.

Keyphrases

machine learning
big data
high resolution
image quality
electronic health record
deep learning