Table 3.

Subjective assessment of image quality for the sets of images reconstructed using FBP, FIRST, and AiCE

Parameter	FBP	FIRST	AiCE	FBP vs FIRST p value	FIRST vs AiCE p value
Noise	2.5 ± 0.8	3.5 ± 0.7	4.0 ± 0.6	<0.001	<0.001
Artifacts	2.4 ± 0.6	4.3 ± 0.6	3.8 ± 0.5	<0.001	<0.001
Sharpness	2.6 ± 0.7	3.9 ± 0.7	4.0 ± 0.6	<0.001	0.60
Overall image quality	2.5 ± 0.6	3.8 ± 0.6	3.9 ± 0.5	<0.001	0.03

AiCE, Advanced intelligent clear-IQ engine; FBP, Filtered back projection; FIRST, Forward projected model-based iterative reconstruction solution.

Data are presented as mean values ± standard deviation. Dunnett’s test was used for statistical comparisons. κ = 0.86, 0.90, 0.81, and 0.88 for noise, artifacts, sharpness, and overall image quality, respectively.