MRecover: A Conditional Generative Model for Recovering Motion-Corrupted MR images Using AI Generated Contrast
arXiv cs.CV·Jinghang Li, Tales Santini, Courtney Clark, Bruno de Almeida, Cong Chu, Salem Alkhateeb, Andrea Sajewski, Jacob Berardinelli, Hecheng Jin, Tobias Campos, Jeremy J. Berardo, Joseph Mettenburg, Ariel Gildengers, Howard J. Aizenstein, Minjie Wu, Tamer S. Ibrahim
15h agoQuick Take
MRecover is a generative model that recovers motion-corrupted MR images using AI-generated contrast.
Key Points
- Synthesizes TSE images from routine T1w MRI.
- Trained on 7T data, generalizes well to 3T.
- Increases analyzable subjects by 31.8% in ADNI3 dataset.
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