Effects of Iterative Reconstruction on Image Quality of Pediatric Body Computed Tomography Images-Reference-Cited by-同舟云学术

Effects of Iterative Reconstruction on Image Quality of Pediatric Body Computed Tomography Images

Published:2020 Issue:10 Volume:76 Page:1035-1043
ISSN:0369-4305
Container-title:Japanese Journal of Radiological Technology
language:en
Short-container-title:Nippon Hoshasen Gijutsu Gakkai Zasshi

Author:

Kiriki Masato¹,Muraoka Rina¹,Maeda Katsuhiko¹,Ikeuchi Yoko¹,Aoyama Shuhei¹,Nakano Shinya¹,Kotoura Noriko¹

Affiliation:

1. Department of Radiological Technology, Hyogo College of Medicine College Hospital

Publisher

Japanese Society of Radiological Technology

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jjrt/76/10/76_2020_JSRT_76.10.1035/_pdf

Reference23 articles.

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2. 3) National Research Council. Health risks from exposure to low levels of Ionizing radiation: BEIR VII phase 2. Washington, DC: National Academies Press, 2006.

3. 5) Smith EA, Dillman JR, Goodsitt MM, et al. Model-based iterative reconstruction: effect on patient radiation dose and image quality in pediatric body CT. Radiology 2014; 270(2): 526-534.

4. 7) Krizhevsky A, Sutskever I, Hinton G E, et al. ImageNet classification with deep convolutional neural networks. Proc NIPS' 12 2012; 1: 1097-1105.

5. 8) Tatsugami F, Higaki T, Nakamura Y, et al. Deep learning-based image restoration algorithm for coronary CT angiography. Eur Radiol 2019; 29(10): 5322-5329.

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