Data-driven voluntary body motion detection and non-rigid event-by-event correction for static and dynamic PET

Yihuan Lu1,2, Jean-Dominique Gallezot1, Mika Naganawa1

  • 1Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States of America.

Summary

Body motion (BM) in positron emission tomography (PET) compromises quantitative accuracy. A new data-driven algorithm, centroid of distribution (COD), effectively detects and corrects for BM, improving image quality and tracer uptake measurements.

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