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Abstract #0571

Parameter-Free Profile Encoding Reconstruction for Multiple-Acquisition bSSFP Imaging

Efe Ilicak1,2 and Tolga Çukur1,2,3

1Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Graduate School of Engineering and Science, Bilkent University, Neuroscience Program, Ankara, Turkey

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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