PnP-CoSMo: A Multi-Contrast MRI Reconstruction Framework based on Content/Style Modeling [R]

Short summary

PnP-CoSMo is a plug-and-play framework for multi-contrast MRI reconstruction that separates contrast-invariant content from contrast-specific style using a two-stage approach. It requires no raw k-space training data, generalizes across different MR contrasts and forward operators, and provides a built-in explanatory framework. The paper is published in Medical Image Analysis with code available via Substack.

• •Two-stage framework: learns content/style model from image-domain data, then applies it as a prior in iterative reconstruction
• •Eliminates need for raw k-space training data, a major bottleneck in ML-based MRI
• •Generalizable across MR contrasts and forward operators with built-in interpretability

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