Deep Learning–based Reconstruction for Lower-Dose Pediatric CT: Technical Principles, Image Characteristics, and Clinical Implementations-Reference-Cited by-同舟云学术

Deep Learning–based Reconstruction for Lower-Dose Pediatric CT: Technical Principles, Image Characteristics, and Clinical Implementations

Published:2021-11 Issue:7 Volume:41 Page:1936-1953
ISSN:0271-5333
Container-title:RadioGraphics
language:en
Short-container-title:RadioGraphics

Author:

Nagayama Yasunori¹^ORCID,Sakabe Daisuke¹^ORCID,Goto Makoto¹,Emoto Takafumi¹^ORCID,Oda Seitaro¹^ORCID,Nakaura Takeshi¹^ORCID,Kidoh Masafumi¹^ORCID,Uetani Hiroyuki¹^ORCID,Funama Yoshinori¹^ORCID,Hirai Toshinori¹

Affiliation:

1. From the Department of Diagnostic Radiology, Graduate School of Medical Sciences (Y.N., S.O., T.N., M.K., H.U., T.H.), and Department of Medical Radiation Sciences, Faculty of Life Sciences (Y.F.), Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan; and Department of Central Radiology, Kumamoto University Hospital, Chuo-ku, Kumamoto, Japan (D.S., M.G., T.E.).

Funder

KAKENHI

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/rg.2021210105

Reference72 articles.

1. Computed Tomography — An Increasing Source of Radiation Exposure

2. The Use of Computed Tomography in Pediatrics and the Associated Radiation Exposure and Estimated Cancer Risk

3. Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study