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Abstract #3026

Region-Growing Reconstruction for Large-Angle Multiple-Acquisition BSSFP

Brady Quist1, Brian A. Hargreaves2, Glen R. Morrell3, Garry E. Gold2, Neal K. Bangerter1

1Department of Electrical & Computer Engineering, Brigham Young University, Provo, UT, United States; 2Department of Radiology, Stanford University, Stanford, CA, United States; 3Department of Radiology, University of Utah, Salt Lake City, UT, United States

A novel method for simultaneously suppressing fat and reducing bSSFP banding artifacts in the presence of field inhomogeneity was recently presented, called large-angle multiple-acquisition (LAMA) bSSFP. LAMA bSSFP requires the acquisition of two phase-cycled SSFP acquisitions and a field map, although previous work has suggested that an intelligent region-growing algorithm could replace field-map acquisition. In this work, we present such a region-growing algorithm, and demonstrate that LAMA bSSFP can perform effectively without the acquisition of a field map. Results are presented in the lower leg of a normal volunteer.