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Abstract #2287

Autocalibrating Reconstruction for Non-Bijective Encoding Fields

Ethan M. Johnson1, John M. Pauly1

1Electrical Engineering, Stanford University, Stanford, CA, United States

Reconstruction techniques for data encoded by nonlinear, non-bijective magnetic fields have thus far used receive coil array sensitivity maps to resolve the non-bijective-encoding ambiguity. However, if the acquired signals are compared to a pair of calibration signals encoded by a bijective field, the ambiguity can be resolved. From this, a practical autocalibrating method that does not require sensitivity maps can be identified, and an image reconstructed.

Keywords

acceleration according accruing acquisition additionally aggregate alias aliased aliases aliasing amplitude applied approximate array auto bijective bottom calibrate calibrated calibrating calibration coil coils combination combine comparable concept configurations consequence consideration corrected cycle deemed degree derivative development differentiate distinguished distortions electrical enclosed encode encoded encoding engineering equation errors ever evident explicit fidelity field fields final fold folded formed free frequencies frequency full gradient grid halves induced inspired intensities interpolation kernel lent like linear linearity local locally loss made makes manner maps matching measured modulated must need nonlinear novel numerical object obviates onerous opposite orientation pair parallel parker partitioned pattern phantom piecewise pixel polarity position precedents procedure profiles protocol pulse readout readouts realistic receive reconstruction reduction regressing resolution restores reversal reversed sampling sense sensitivity shape sign simply simulation since solution space spatial spatially specifying spin squares stages step still structure theory together tolerable undone unfolded unfolding uniform valuable vertical view warp warped warping