Additional file 4 of Performance evaluation of the Q.Clear reconstruction framework versus conventional reconstruction algorithms for quantitative brain PET-MR studies
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https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Performance_evaluation_of_the_Q_Clear_reconstruction_framework_versus_conventional_reconstruction_algorithms_for_quantitative_brain_PET-MR_studies/14558950
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Additional file 4: Supplementary file 4. Fig. 1 Bland-Altman plots assessing agreement between TOF-OSEM 4iteration, 8subsets with 5mm (4i8s5mm) and Q.Clear with different β values, for the background variability data obtained from the NEMA phantom. TOF-OSEM 4i8s5mm and Q.Clear β100 (A); TOF-OSEM 4i8s5mm and Q.Clear β200 (B); TOF-OSEM 4i8s5mm and Q.Clear β300 (C); TOF-OSEM 4i8s5mm and Q.Clear β400 (D); TOF-OSEM 4i8s5mm and Q.Clear β500 (E). Fig. 2 Bland-Altman plots assessing agreement between TOF-OSEM 4iteration, 8subsets with 5mm (4i8s5mm)and Q.Clear with different β values, for the background variability data obtained from the NEMA phantom. TOF-OSEM 4i8s5mm and Q.Clear β600 (F); TOF-OSEM 4i8s5mm and Q.Clear β700 (G); TOF-OSEM 4i8s5mm and Q.Clear β800 (H); TOF-OSEM 4i8s5mm and Q.Clear β900 (I); TOF-OSEM 4i8s5mm and Q.Clear β1000 (J).
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figshare
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2021-05-08
