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Data-driven motion correction rescues interpretation of rubidium PET scan with extreme breathing artifacts

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References

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Acknowledgments

D. Gao was supported by a grant from the Society of Nuclear Medicine and Molecular Imaging (SNMMI) funded by the SNMMI Value Initiative. R. Beanlands is a Career Investigator supported by the Heart and Stroke Foundation of Ontario (HSFO) and Tier 1 Research Chair in Cardiac Imaging at the University of Ottawa.

Disclosures

CH and BS are employees of Siemens Medical Solutions. RSB is consultant for and has received grant funding from Lantheus Medical Imaging and Jubilant DraxImage. RdK is a consultant for Jubilant DraxImage and receives technology license revenues from Jubilant DraxImage and INVIA Medical Imaging Solutions. The other authors have nothing to disclose.

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Correspondence to Robert A. deKemp PhD, FASNC.

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Gao, D., Tavoosi, A., Wiefels, C. et al. Data-driven motion correction rescues interpretation of rubidium PET scan with extreme breathing artifacts. J. Nucl. Cardiol. 30, 818–822 (2023). https://doi.org/10.1007/s12350-021-02814-4

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  • DOI: https://doi.org/10.1007/s12350-021-02814-4

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