Abstract #3949

Optimization of Simultaneous Multi-slice Imaging with Autocalibrating Reconstruction for Cartesian Imaging Parameters for Human Connectome Type Protocol

Volkan Emre Arpinar¹, Kevin Koch^1,2, Sampada Bhave¹, L Tugan Muftuler^2,3, S Sivaram Kaushik⁴, Baolian Yang⁴, Suchandrima Banerjee⁴, and Andrew Nencka^1,2

¹Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, ²Center for Imaging Research, Medical College of Wisconsin, Milwaukee, WI, United States, ³Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, ⁴GE Healthcare, Waukesha, WI, United States

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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