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Additional file 3 of Performance evaluation of the Q.Clear reconstruction framework versus conventional reconstruction algorithms for quantitative brain PET-MR studies

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DataCite Commons2021-05-08 更新2024-07-28 收录
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https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Performance_evaluation_of_the_Q_Clear_reconstruction_framework_versus_conventional_reconstruction_algorithms_for_quantitative_brain_PET-MR_studies/14558947
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Additional file 3: Supplementary file 3. Fig. 1 Bland-Altman plots assessing agreement between FBP with 5mm and Q.Clear with different β values, for the background variability data obtained from the NEMA phantom. FBP 5mm and Q.Clear β100 (A); FBP 5mm and Q.Clear β200 (B); FBP 5mm and Q.Clear β300 (C); FBP 5mm and Q.Clear β400 (D); FBP 5mm and Q.Clear β500 (E). Fig. 2 Bland-Altman plots assessing agreement between FBP with 5mm and Q.Clear with different β values, for the background variability data obtained from the NEMA phantom. FBP 5mm and Q.Clear β600 (F); FBP 5mm and Q.Clear β700 (G); FBP 5mm and Q.Clear β800 (H); FBP 5mm and Q.Clear β900 (I); FBP 5mm and Q.Clear β1000 (J).
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2021-05-08
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