Keywords: Motion Correction, Motion Correction
Motivation: Respiratory motion during data acquisition poses significant challenges in cardiac MRI
Goal(s): In this study, we proposed a non-contact prospective motion estimation and correction technique using Frequency Modulated Continuous Wave radar signals.
Approach: The FMCW radar system was developed to measure chest movement during breathing. A calibration scan was performed to create a patient-specific motion model, correlating respiration-induced heart motion with the FMCW radar signal. This model was then used to enable real-time motion estimation and correction during the imaging scan, aligning each k-space readout line by tracking the slice location.
Results: The proposed method effectively improved the image quality.
Impact: In this study, we demonstrated that the FMCW radar signal is a suitable surrogate for motion estimation and correction. The proposed respiratory motion-correction technique shows promising potential in reducing motion artifacts in cardiac MRI.
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