Unsupervised Susceptibility Distortion Correction of EPI without Calibration Scans via Image Translation-Based Registration
- Published
- Source
- arXiv
- Paper number
- 472
- Field
- Image Processing
- arXiv ID
- 2606.21588
Key points
- An invertible neural network, or INN, based image translation narrows the contrast gap between BOLD and T1w images.
- The method applies structural preservation constraints through the MIND-SSC, a modality-independent neighborhood descriptor.
- Test-time adaptation, or TTA, provides out-of-distribution robustness to scanner and population shifts.
- The network is trained with a single contrast-similarity objective, so no distortion-correction ground truth is needed.
- It consistently outperforms prior calibration-free methods on one in-distribution and two out-of-distribution datasets.
Paper links
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