Abstract #1857

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

Feiyu Chen¹, Tao Zhang^1,2, Joseph Y. Cheng^1,2, 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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