Study on Model Iterative Reconstruction Algorithm vs. Filter Back Projection Algorithm for Diagnosis of Acute Cerebral Infarction Using CT Images

Table 1

Comparison results of objective values of image quality among patients from the two groups.

Group	Reconstruction methods		CT (Hu)	SD (Hu)	SNR	CNR
Group A	FBP	Gray matter	56.23 ± 2.45	7.82 ± 1.43	9.41 ± 1.53	0.40 ± 0.09
		White matter	36.23 ± 2.12	5.21 ± 0.98	10.06 ± 1.32
Group B	FBP	Gray matter	78.69 ± 3.12	12.43 ± 1.54	7.83 ± 0.93	0.21 ± 0.03
		White matter	57.12 ± 2.56	9.26 ± 0.98	7.82 ± 0.72
	iDose4	Gray matter	65.98 ± 3.12	10.79 ± 1.87	8.21 ± 1.10	0.24 ± 0.02
		White matter	48.34 ± 2.17	8.15 ± 0.85	7.73 ± 0.91
	IMR1	Gray matter	55.43 ± 3.45	7.24 ± 1.27	10.52 ± 2.13	0.42 ± 0.06
		White matter	38.63 ± 1.91	4.83 ± 0.62	10.98 ± 1.17
	IMR2	Gray matter	53.24 ± 3.19	6.39 ± 1.28	11.23 ± 2.15	0.57 ± 0.11
		White matter	37.03 ± 4.23	4.97 ± 0.92	11.83 ± 1.86
	IMR3	Gray matter	52.34 ± 3.92	6.82 ± 1.97	11.65 ± 2.31	0.68 ± 0.21
		White matter	34.61 ± 1.97	3.94 ± 0.82	12.82 ± 1.91
Z		Gray matter	234.96	70.98	36.87	65.14
		White matter	267.25	235.87	75.61
		Gray matter	<0.001	<0.001	<0.001	<0.001
		White matter	<0.001	<0.001	<0.001