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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