Marina Manso Jimeno1,2, Sairam Geethanath1,2, and John Thomas Vaughan Jr.1,2
1Columbia University, New York, NY, United States, 2Columbia Magnetic Resonance Research Center (CMRRC), New York, NY, United States
1Columbia University, New York, NY, United States, 2Columbia Magnetic Resonance Research Center (CMRRC), New York, NY, United States
We release an open-source code package for spiral image off-resonance correction. Its first version implements three techniques: continuous, frequency-segmented CPR and MFI. Results demonstrate a successful implementation in phantom and in vivo experiments.
Figure 5: A) Image of brain acquired with a spiral (54 shots 9 alpha) sequence and external B0 map. B) Top row: Image corrected with fs-CPR and MFI at the minimum number of frequency segments, bottom row: Image corrected with fs-CPR and MFI doubling the number of frequency segments.
Figure 1: A) Forward Model Input: Original Shepp-Logan phantom image (192x192). B) Variable Density Spiral (VDS) trajectory with 54 shots and center oversampling factor (alpha) equal to 9. C) Corrupted phantom image after sampling the signal along the trajectory in the condition of magnetic field homogeneity. D) Forward model results and difference with respect to GT in the presence of different ranges of field inhomogeneity.
