The shoulder: Adaptive motion correction of MR images

Kiaran P. McGee, Roger C. Grimm, Joel P. Felmlee, John R. Rydberg, Stephen J. Riederer, Richard L. Ehman

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


PURPOSE: To evaluate an adaptive-motion-correction technique to reduce global motion in shoulder magnetic resonance (MR) images. MATERIALS AND METHODS: In the adaptive-motion-correction technique, interleaved navigator echoes are used to provide a measure of view-to-view displacement along the craniocaudal direction for each image echo in the acquisition. The information is then retrospectively applied to the k-space data to correct for global shoulder motion. This algorithm was evaluated in a series of 143 consecutive patient shoulder examinations by comparing the original image set for each patient with the same image set after retrospective correction by means of this algorithm. RESULTS: The average amplitude of craniocaudal motion was 1.4 mm. Image degradation due to motion was apparent in 100 (70%) of the 143 examinations. Application of the adaptive-motion-correction technique improved image quality in 73 (73%) of these 100 examinations or 51% of all 143 examinations. CONCLUSION: Adaptive motion correction improved image quality in approximately three-quarters of the examinations in which motion was present.

Original languageEnglish (US)
Pages (from-to)541-545
Number of pages5
Issue number2
StatePublished - Nov 1997


  • Magnetic resonance (MR), motion correction
  • Magnetic resonance (MR), reconstruction algorithms
  • Shoulder, MR

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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