Deep learning-aided respiratory motion compensation in PET/CT: addressing motion induced resolution loss, attenuation correction artifacts and PET-CT misalignment.

Eur J Nucl Med Mol Imaging · 2024 · PMC11599311 · PMID 39136740

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did not reach statistical significanceno p-value reported

In the category of large lesions (volume > 10 mL, N = 123), a considerable increase in SUV max and SUV mean was observed between NMC and uRMC, although this did not reach statistical significance.

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