The impact of MR-guided PET attenuation correction on whole-body dynamic and parametric PET imaging

作者: Nicolas Karakatsanis , Charalampos Tsoumpas , Habib Zaidi

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摘要: 1796 Objectives In this study, we investigate the impact of erroneous MRI-guided PET attenuation correction on dynamic and indirect as well direct parametric whole-body (WB) data. Methods Initially a series realistic 4D XCAT simulation studies were conducted utilizing analytic projectors Biograph mCT TOF scanner WB FDG kinetics from literature to generate cardiac sinograms, sampled in frames 45sec at times corresponding 6-pass protocol. We focused erroneously estimated factors (AFs) assuming perfect registration between CT- MR-based maps. Initially, extracted CT AFs for all major organs dataset 10 PET/CT clinical assigned them respective produce maps (CT-AC) AF variance. Then, generated 3- 5-class (3C-MRAC & 5C-MRAC). The original sinograms first attenuated according then reconstructed using AC either CT-ACs or MRACs. Finally, Patlak image generation methods employed 3 datasets. Results average % bias observed reference 3C- 5C-MRACs was -20 -25% bone near regions 5-10% lung regions. same range assessed 3C-MRAC images with slight reduction by 1-2% higher uptake. Finally slightly reduced (2-4% less) found no propagation other case 5C-MRAC images, %bias bones became negligible. Conclusions Standard currently clinic can pose quantitative challenge future PET/MR error being however Patlak. Research Support This work supported Swiss National Science Foundation under Grant SNSF 31003A-149957.

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