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Abstract #0585

A correlation based approach to respiratory self navigation for multi channel non-Cartesian MRI

Gregory R. Lee 1,2 , Yong Chen 3 , and Vikas Gulani 3,4

1 Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2 University of Cincinnati, Cincinnati, OH, United States, 3 Radiology, University Hospitals Case Medical Center, Cleveland, OH, United States, 4 Radiolgoy, Case Western Reserve University, Cleveland, OH, United States

In this work an approach to respiratory self-navigation is proposed that is applicable to non-Cartesian dynamic contrast enhanced MRI sequences that repeatedly sample the k-space center. The approach starts by bandpass filtering to removes slow changes in the signal magnitude & phase due to contrast arrival as well as high frequency noise. Correlations among the complex central k-space point are then evaluated across coils to extract a respiratory waveform. This waveform enables retrospective respiratory binning for motion-compensated image reconstruction. Computation time is negligible and the resulting navigator compares favorably to those acquired with a respiratory bellows or image-domain navigator.

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