The Journal of Nuclear Medicine | 2021

Data-Driven Respiratory Motion Correction in Clinical PET - A Turning Point.

 
 
 

Abstract


tumor motion in the lung and upper abdomen using list-mode PET data: a feasibility study. J Nucl Med. 2007;48:758–763. 16. Schleyer PJ, O’Doherty MJ, Barrington SF, Marsden PK. Retrospective datadriven respiratory gating for PET/CT. Phys Med Biol. 2009;54:1935–1950. 17. Büther F, Ernst I, Dawood M, et al. Detection of respiratory tumour motion using intrinsic list mode-driven gating in positron emission tomography. Eur J Nucl Med Mol Imaging. 2010;37:2315–2327. 18. Feng T, Wang J, Sun Y, Zhu W, Dong Y, Li H. Self-gating: an adaptive center-of-mass approach for respiratory gating in PET. IEEE Trans Med Imaging. 2018;37:1140–1148. 19. Yang J, Khalighi M, Hope TA, Ordovas K, Seo Y. Technical note: fast respiratory motion estimation using sorted singles without unlist processing—a feasibility study. Med Phys. 2017;44:1632–1637. 20. Visvikis D, Barret O, Fryer T, et al. A posteriori respiratory motion gating of dynamic PET images. In: Nuclear Science Symposium Conference Record. IEEE; 2003:3276–3280. 21. Kesner AL, Daou D, Schindler TH, Koo PJ. Carpe datum: a consideration of the barriers and potential of data-driven PET innovation. J Am Coll Radiol. 2016; 13:106–108. 22. Kesner AL, Weber WA. Small data: a ubiquitous, yet untapped, resource for lowcost imaging innovation. J Nucl Med. 2017;58:198–200. 23. Kesner A, Laforest R, Otazo R, Jennifer K, Pan T. Medical imaging data in the digital innovation age. Med Phys. 2018;45:e40–e52.

Volume 62
Pages 435 - 435
DOI 10.2967/jnumed.120.257022
Language English
Journal The Journal of Nuclear Medicine

Full Text