Quantification of chemical exchange saturation transfer (CEST) imaging is a keystone for many clinical applications. Head motion and motion-caused noise produce non-negligible effects on the quantification in the whole brain 3D imaging. To solve the problem, we propose a new motion-based noise reduction method. Our preliminary results demonstrate that our method can reduce the noise efficiently and improve the amide proton transfer (APT) quantification results in the conditions of either with slight head motion or with huge head motion.
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