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.
This abstract and the presentation materials are available to members only; a login is required.