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The shoulder: adaptive motion correction of MR images
K P McGee1, R C Grimm, J P Felmlee
1Department of Diagnostic Radiology, Mayo Clinic, Rochester, MN 55905, USA.
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.