Table 1.
ROI_Location_1 | |||||
---|---|---|---|---|---|
Variable | Difference | Standard Error | p | 95% CI * | |
Lower Limit | Upper Limit | ||||
CGpM-MAR vs. Original-FBP | −0.0664 | 0.01717 | 0.002 | −0.1118 | −0.0211 |
CGpM-MAR vs. DT-MAR | −0.0190 | 0.01717 | 0.686 | −0.0644 | 0.0263 |
CGpM-MAR vs. CNNMAR | −0.0441 | 0.01717 | 0.060 | −0.0895 | 0.0013 |
Original FBP vs. DT-MAR | 0.0474 | 0.01717 | 0.037 | 0.0021 | 0.0928 |
Original FBP vs. CNNMAR | 0.0224 | 0.01717 | 0.565 | −0.0230 | 0.0677 |
Original FBP vs. CGpM-MAR | 0.0664 | 0.01717 | 0.002 | 0.0211 | 0.1118 |
DT-MAR vs. Original-FBP | −0.0474 | 0.01717 | 0.037 | −0.0928 | −0.0021 |
DT-MAR vs. CNNMAR | 0.1389 | 0.0601 | 0.468 | −0.0704 | 0.0203 |
DT-MAR vs. CGpM-MAR | 0.8692 | 0.0537 | 0.686 | −0.0263 | 0.0644 |
CNNMAR vs. Original-FBP | −0.0224 | 0.01717 | 0.565 | −0.0677 | 0.0230 |
CNNMAR vs. DT-MAR | 0.0251 | 0.01717 | 0.468 | −0.0203 | 0.0704 |
CNNMAR vs. CGpM-MAR | 0.0441 | 0.01717 | 0.060 | −0.0013 | 0.0895 |
Source of variation | df * | sums of squares | mean square | F | p |
Algorithm | 3 | 0.045 | 0.015 | 5.709 | 0.002 |
Dose | 2 | 0.010 | 0.005 | 1.827 | 0.170 |
Algorithm × Dose | 6 | 0.017 | 0.003 | 1.086 | 0.381 |
Error | 60 | 0.159 | 0.003 | - | - |
* CI: confidence interval; dependent variable: artificial index value. Tukey–Kramer test; p < 0.05 indicates a significant difference (without metal artifact reduction processing). * df: degree of freedom; dependent variable: artificial index value. Tukey–Kramer test; p < 0.05 indicates a significant difference (without metal artifact reduction processing).