The optimal parameterization of simultaneous multi-slice (SMS) unaliasing kernel fitting with autocalibrating reconstruction for cartesian imaging (ARC) is not obvious. Here we systematically varied five variables that parameterize this calibration process to empirically determine optimal values for human connectome project (HCP) harmonized image reconstruction. Low levels of regularization, moderate sizes of ky-kernels, and increased numbers of ky-calibration points yield improved unaliasing performance.
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