Key result
Among 24 evaluated metrics, the entropy of the one-dimensional gradient along the phase-encoding direction exhibited the strongest relationship with observer ratings for autocorrection of MR images.
Why the study?
Which image metric best correlates with observer ratings for autocorrection of motion effects in MR images of the rotator cuff?
Observational (n=164)
Which image metric best correlates with observer ratings for autocorrection of motion effects in MR images of the rotator cuff?
The entropy of the one-dimensional gradient along the phase-encoding direction is the most effective metric for autocorrection of motion artifacts in shoulder MRI.
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Entropy metric may aid autocorrection in shoulder MRI; leaves open prospective validation across sequences.
McGee et al. (2000) conducted an observational in MR imaging of the shoulder / rotator cuff (n=164). Autocorrection using image metrics vs. Original images was evaluated on Correlation between changes in metric values and changes in observer score of motion-induced artifacts. Among 24 evaluated metrics, the entropy of the one-dimensional gradient along the phase-encoding direction exhibited the strongest relationship with observer ratings for autocorrection of MR images.
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