Correction to: CT iterative vs deep learning reconstruction: comparison of noise and sharpness
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CORRECTION
Correction to: CT iterative vs deep learning reconstruction: comparison of noise and sharpness Chankue Park 1 & Ki Seok Choo 1
&
Yunsub Jung 2 & Hee Seok Jeong 1 & Jae-Yeon Hwang 1 & Mi Sook Yun 3
# European Society of Radiology 2020
Correction to: European Radiology https://doi.org/10.1007/s00330-020-07358-8 The original version of this article, published on 15 October 2020, unfortunately contained two mistakes. The following corrections have therefore been made in the original: The heading “Sharpness evaluation” should be a subheading of “Quantitative analysis” and the presentation of Table 1 was incorrect. The original article has been corrected.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The online version of the original article can be found at https://doi.org/ 10.1007/s00330-020-07358-8 * Ki Seok Choo [email protected] 1
Department of Radiology, Pusan National University Yangsan Hospital, Yangsan, South Korea
2
CT Research Team, GE Healthcare Korea, Seoul, South Korea
3
Division of Biostatistics, Pusan National University Yangsan Hospital, Yangsan, South Korea
Eur Radiol Table 1
Quantitative analysis (conventional method) AV-80
Aorta HU 403.1b ± 172.0 SD 27.9c ± 10.1 SNR 14.9b ± 5.2 CNR 20.3b ± 6.0 Femoral artery HU 442.6b ± 179.0 SD 46.6a,b,c ± 40.7 SNR 12.7a,b ± 6.4 CNR 17.4a,b,c ± 9.0 Popliteal artery HU 473.1b ± 177.3 SD 67.7a ± 39.7 SNR 9.1a ± 6.0 CNR 12.2a ± 8.3 Liver HU 140.5a ± 23.1 SD SNR CNR Psoas muscle HU SD SNR CNR
b
TF-L
TF-M
TF-H
p*
401.0a ± 171.1 26.5b ± 11.1 16.0c ± 5.7 21.8c ± 6.7
406.3c ± 171.8 32.5d ± 8.0 12.6a ± 4.6 17.0a ± 5.1
406.3c ± 171.7 28.6c ± 8.7 14.5b ± 5.2 19.6b ± 5.9
406.3c ± 171.8 24.6a ± 9.6 17.3c ± 6.4 23.5c ± 7.6
< 0.001 < 0.001 < 0.001 < 0.001
436.6a ± 176.6 45.7a,b,c ± 40.9 13.0a,b,c ± 6.6 17.6c,d ± 8.6
450.0c ± 181.1 47.9c ± 41.9 11.7a ± 5.1 15.7a ± 6.2
450.6c ± 180.6 46.1b ± 42.5 12.7b ± 5.7 17.0b,c ± 7.2
450.5c ± 180.9 44.5a ± 43.2 13.9c ± 6.7 18.8d ± 8.9
< 0.001 0.007 0.001 0.001
466.7a ± 175.4 67.2a ± 38.7 9.2a ± 7.1 12.4a ± 10.2
488.1e ± 178.6 70.4b ± 40.1 8.6a ± 4.8 11.2a ± 6.0
487.7d ± 178.8 70.1b ± 40.5 8.8a ± 5.1 11.4a ± 6.4
487.1c ± 179.0 70.0b ± 41.0 8.9a ± 5.4 11.7a ± 7.1
< 0.001 < 0.001 0.390 0.276
140.6b ± 23.1
141.0c ± 23.1
141.1c ± 23.1
141.1c ± 23.0
< 0.001
AV-100
a
d
c
25.4 ± 5.6 5.8c ± 1.6 8.4c ± 2.3
22.7 ± 5.8 6.6d ± 2.2 9.5d ± 3.0
30.6 ± 4.7 4.7a ± 1.0 6.9a ± 1.5
26.8 ± 5.2 5.5b ± 1.3 7.9b ± 2.0
23.1a ± 5.9 6.5d ± 2.0 9.4d ± 2.9
< 0.001 < 0.001 < 0.001
66.1a ± 7.6 17.4b ± 4.4 4.0c ± 1.0 12.3c ± 3.4
66.0a ± 7.5 14.6a ± 4.7 4.9d ± 1.5 15.2d ± 4.8
67.4b ± 7.9 24.3d ± 3.7 2.8a ± 0.5 8.6a ± 1.7
67.2b ± 7.5 19.8c ± 4.0 3.5b ± 0.7 10.6b ± 2.4
67.2b ± 7.5 15.1a ± 4.5 4.8d ± 1.2 14.4d ± 3.8
< 0.001 < 0.001 < 0.001 < 0.001
Data are mean value ± standard deviation. The superscripts represent the same group of the Bonferroni post hoc test (the alphabetical order indicates the order, starting from the
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