Keywords: Motion Correction, Motion Correction
Motivation: Navigator-based rigid-body motion correction (MoCo) can improve IQ when the correct motion parameters are extracted from navigator data. However, navigator-based MoCo can reduce IQ when incorrect motion parameters are derived.
Goal(s): We propose combining IQ assessment with navigator-based MoCo to improve correction robustness.
Approach: The proposed solution was implemented by calculating the entropy (IQ metric) of images with/without navigator-based rigid-body MoCo, and MoCo was applied only when the image entropy decreased.
Results: During volunteer studies, the proposed solution reduced the number of slices that showed IQ reduction due to rigid-body correction, while maintaining a large majority of slices that benefited from rigid-body correction.
Impact: Navigator-based rigid-body motion correction (MoCo) robustness was improved by using an image quality metric to determine whether MoCo improved IQ.
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