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Abstract #2000

A Calibration and Compensation Method for Dynamic Range Recovery of Low-Power SiGe Pre-Amplifiers.

Christopher Vassos1, Fraser Robb2, Shreyas Vasanawala3, John Pauly1, and Greig Scott1
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2GE Healthcare, Aurora, CO, United States, 3Radiology, Stanford University, Stanford, CA, United States


Power consumption reduction is key when exploring wireless MRI arrays. An alternative low-power (5.7mW) SiGe pre-amplifier is presented and its impact on imaging performance evaluated in a benchtop setting. The reduction in power results in a more extreme non-linearity that introduces distortion into the images. It is possible to calibrate and compensate for this distortion through receive-only methods. Applying this compensation to the distorted images results in a restoration of image quality with resulting RMSE comparable to industry standard amplifiers representing a potential power reduction up to 30x.

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