Keywords: Motion Correction, Motion Correction
Motivation: Navigator-triggered MRCP suffers from respiratory motion due to long echo train. Pilot tone is a novel sensor to monitor physiological motion but has never been applied to obtain comprehensive motion information to improve MRCP.
Goal(s): Develop a pilot tone-based diaphragm motion estimation framework.
Approach: Design an adaptive correlation model and Kalman filter to estimate diaphragm motion using pilot tone during the period without navigators and make comparisons with trigger positions.
Results: The framework enables estimation of diaphragm motion while maintaining continuity with the navigator-derived diaphragm position. The results expand the knowledge of motion effects in MRCP and offer insights for improving image quality.
Impact: This study demonstrates that the pilot tone-based diaphragm motion estimation framework enables estimation of motion information associated with navigator-triggered MRCP acquisitions. These results have potential to improve image quality and workflow of MRCP scans.
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