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Abstract #3906

Encoding of Inductively Measured k-Space Trajectories in MR Raw Data

Jan Ole Pedersen1,2, Christian G. Hanson, Rong Xue3, and Lars G. Hanson1,2

1Centre for Magnetic Resonance, DTU Elektro, Technical University of Denmark, Kgs Lyngby, Denmark, 2Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Hvidovre, Denmark, 3Institute of Biophysics, Chinese Academy of Sciences, State Key Laboratory of Brain and Cognitive Science, Beijing, People's Republic of China

For reconstruction of MRI from raw data, the k-space trajectory is needed. We propose to measure this simultaneously with the MRI signal using novel hardware and the scanner itself. As a first step, we demonstrate real-time processing of a gradient pickup coil voltage during scanning, modulation of this signal to a frequency within the MR acquisition bandwidth, and signal extraction from MR raw data. This principle is applied to measure k-space trajectories inductively and perform image reconstruction based on this. The resulting images have comparable quality to images reconstructed using nominal k-space trajectories. The method can potentially provide generic image reconstruction with limited hardware, even for challenging and dynamically updated gradient schemes.

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