icon-lab/MambaRoll

Official implementation of MambaRoll: A Physics-Driven Autoregressive State Space Model for Medical Image Reconstruction (https://arxiv.org/abs/2412.09331)

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Experimental

This project helps medical professionals and researchers reconstruct high-quality medical images from partially acquired MRI and CT scan data. It takes undersampled MRI k-space data or CT sinograms and outputs detailed, fully reconstructed medical images. Medical physicists, radiologists, and imaging scientists who work with MR and CT data will find this useful for improving image clarity and diagnostic potential.

No commits in the last 6 months.

Use this if you need to generate clear and accurate MRI or CT images from incomplete scan data, especially when aiming for enhanced detail and fidelity in medical imaging.

Not ideal if your primary goal is real-time image acquisition or if you are not working with MRI or CT reconstruction datasets.

medical-imaging MRI-reconstruction CT-reconstruction radiology image-enhancement
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 5 / 25

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Stars

19

Forks

1

Language

Python

License

MIT

Last pushed

Sep 28, 2025

Commits (30d)

0

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