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Abstract #1857

Auto-Calibrating Wave-CS for Motion-Robust Accelerated MRI

Feiyu Chen1, Tao Zhang1,2, Joseph Y. Cheng1,2, John M. Pauly1, and Shreyas S. Vasanawala2

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States

In this work, we propose a motion-robust auto-calibrating Wave-CS technique. This technique uses the wave-encoded center k-space and the known point-spread-function (PSF) of wave-encoding to reconstruct a Cartesian central k-space for calibration. The coil sensitivity maps are subsequently estimated with ESPIRiT for CS-SENSE reconstruction of under-sampled k-spaces. Results show this approach can reduce the motion artifacts and the aliasing artifacts due to sensitivity variations between the calibration and accelerated wave-encoded acquisitions.

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