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arXiv Computer Vision By Antoine Legouhy, Ross Callaghan, Yuchuan Qiao, Whitney Stee, Philippe Peigneux, Hojjat Azadbakht, Hui Zhang

Eddeep: a deep-learning framework for fast eddy-current distortion correction in diffusion MRI

Read the original on arXiv Computer Vision →

Eddeep is a deep‑learning framework designed to correct eddy‑current distortions in diffusion MRI. It uses a two‑stage approach: first, a supervised image‑translation network standardises image contrast, and second, an unsupervised registration network estimates distortion and motion parameters in a single forward pass. Trained on UK Biobank data, Eddeep achieves correction quality comparable to FSL Eddy while dramatically reducing inference time.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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