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Abstract #4520

Regularization of Digitally Integrated, Inductive k-Space Trajectory Measures

Jan Ole Pedersen1,2,3, Christian G. Hanson4, Rong Xue5,6, and Lars G. Hanson7,8

1Danish Research Centre for Magnetic Resonance, Hvidovre, Denmark, 2Sino-Danish Center for Education and Research, Aarhus, Denmark, 3Philips Healthcare, KĂžbenhavn SV, Denmark, 4Denmark, 5Chinese Academy of Sciences, State Key Laboratory of Brain and Cognitive Sciences, Institute of Biophysics, Beijing, China, 6University of Chinese Academy of Sciences, Sino-Danish College, Beijing, China, 7Department of Electrical Engineering, Technical University of Denmark, Center for Magnetic Resonance, Kgs Lyngby, Denmark, 8Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Danish Research Centre for Magnetic Resonance, Hvidovre, Denmark

Determining k-space trajectories inductively is conceptually simple, but rely on integration of the induced signal. Performing this integration digitally allow for higher degree of flexibility than analog integration, which is necessary to account for, e.g., refocusing RF pulses. Digital integration, however, require high bandwidth sampling of the induced signal as digitization error accumulate, making the overall approach less attractive. We show that the necessary bandwidth can be reduced by performing regularization using a gradient coil current measure.

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