Keywords: Motion Correction, Motion Correction
Motivation: Accurate motion correction of CEST-MRI is challenging due to the coupling effect between motion and intensity variations, which limits the precision of traditional intensity-based registration methods.
Goal(s): This study aimed to develop a framework that simultaneously corrects motion and intensity variations, enhancing registration accuracy while preserving intensity information.
Approach: We propose an innovative framework based on finite element global digital image correlation (FE-DIC), integrating mechanical regularization and intensity correction techniques to iteratively address the coupling of motion and intensity.
Results: Experiments on simulated human liver, clinical brain, and pig cardiac data show that proposed framework outperforms existing methods in reducing residual errors.
Impact: The proposed method enhances the reliability and precision of CEST-MRI, facilitating its applications in clinical and research settings.
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