Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?
The emergence of large-scale pretrained foundation models has transformed computer vision, enabling strong performance across diverse downstream tasks. However, their potential for physics-based inverse problems, such as accelerated cardiac MRI reconstruction, remains largely underexplored. In this work, we investigate whether natural-domain foundation models can serve as effective image priors for accelerated cardiac MRI reconstruction, and compare the performance obtained against domain-specific counterparts such as BiomedCLIP. We propose an unrolled reconstruction framework that incorporates pretrained, frozen visual encoders, such as CLIP, DINOv2, and BiomedCLIP, within each cascade t...
| Authors | Anam Hashmi, Mayug Maniparambil, Julia Dietlmeier et al. |
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| Primary category | eess.IV |
| Published | 24 April 2026 |
| Last updated at source | 24 April 2026 |
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