Revised motion estimation algorithm for PROPELLER MRI

James G. Pipe, Wende N. Gibbs, Zhiqiang Li, John P. Karis, Michael Schar, Nicholas R. Zwart

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


Purpose To introduce a new algorithm for estimating data shifts (used for both rotation and translation estimates) for motion-corrected PROPELLER MRI. The method estimates shifts for all blades jointly, emphasizing blade-pair correlations that are both strong and more robust to noise. Theory and Methods The heads of three volunteers were scanned using a PROPELLER acquisition while they exhibited various amounts of motion. All data were reconstructed twice, using motion estimates from the original and new algorithm. Two radiologists independently and blindly compared 216 image pairs from these scans, ranking the left image as substantially better or worse than, slightly better or worse than, or equivalent to the right image. Results In the aggregate of 432 scores, the new method was judged substantially better than the old method 11 times, and was never judged substantially worse. Conclusion The new algorithm compared favorably with the old in its ability to estimate bulk motion in a limited study of volunteer motion. A larger study of patients is planned for future work. Magn Reson Med 72:430-437, 2014. © 2013 Wiley Periodicals, Inc.

Original languageEnglish (US)
Pages (from-to)430-437
Number of pages8
JournalMagnetic Resonance in Medicine
Issue number2
StatePublished - Aug 2014


  • MRI
  • motion

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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