What question did this study set out to answer?

To evaluate the impact of data-driven motion correction on clinical brain PET/MRI radiotracers.

April 17, 2026EJNMMI Physics0 citationsOpen Access

The impact of data driven motion correction for clinical brain PET/MRI radiotracers

MBMartin Bolin ADAnna Falk Delgado EPEmilia Palmér

Key Points

To evaluate the impact of data-driven motion correction on clinical brain PET/MRI radiotracers.
Utilized data driven motion correction (ddMC) for analyzing brain PET/MRI images.
Assessed the effectiveness with [[Formula: see text]F]FDG and [[Formula: see text]C]MET tracers.
Performed automatic motion categorization of subjects' movements during imaging.
Confirmed improvements in image quality for [[Formula: see text]F]FDG.
Demonstrated suitability of ddMC for lower-accumulating [[Formula: see text]C]MET radiotracer.
Identified need for re-evaluation of automatic motion categorization methods.

Abstract

In conclusion, the results confirm previous findings with ddMC using [Formula: see textF]FDG and demonstrate its suitability for lower-accumulating [Formula: see textC]MET. The automatic motion categorization needs re-evaluation to better reflect motion affecting PET image quality.

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