Several recent studies suggested accelerating multiple-acquisition balanced steady-state free precession acquisitions to suppress banding artifacts while maintaining scan efficiency. However, these approaches employ regularization terms, which require labor-intensive manual tuning of penalty weights. Here, we propose a parameter-free framework to select penalty weights adaptively for profile-encoding reconstructions. Results indicate the proposed method achieves equivalent image quality to conventional reconstructions, without an exhaustive manual tuning of penalty weights.
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