Ultra-low-dose computed tomography with deep learning reconstruction for craniosynostosis at radiation doses comparable to skull radiographs: a pilot study-Reference-Cited by-同舟云学术

Ultra-low-dose computed tomography with deep learning reconstruction for craniosynostosis at radiation doses comparable to skull radiographs: a pilot study

Published:2023-07-25 Issue:11 Volume:53 Page:2260-2268
ISSN:1432-1998
Container-title:Pediatric Radiology
language:en
Short-container-title:Pediatr Radiol

Author:

Lyoo Youngwook^ORCID,Choi Young Hun^ORCID,Lee Seul Bi^ORCID,Lee Seunghyun^ORCID,Cho Yeon Jin^ORCID,Shin Su-Mi^ORCID,Phi Ji Hoon^ORCID,Kim Seung Ki^ORCID,Cheon Jung-Eun^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Pediatrics, Perinatology and Child Health

Link

https://link.springer.com/content/pdf/10.1007/s00247-023-05717-3.pdf

Reference30 articles.

1. Boulet SL, Rasmussen SA, Honein MA (2008) A population-based study of craniosynostosis in metropolitan Atlanta, 1989–2003. Am J Med Genet A 146:984–991

2. Johnson D, Wilkie AO (2011) Craniosynostosis. Eur J Hum Genet 19:369–376

3. Vannier MW, Hildebolt CF, Marsh JL et al (1989) Craniosynostosis: diagnostic value of three-dimensional CT reconstruction. Radiology 173:669–673

4. Kirmi O, Lo SJ, Johnson D et al (2009) Craniosynostosis: a radiological and surgical perspective. Semin Ultrasound CT MR 30:492–512

5. Justino H (2006) The ALARA concept in pediatric cardiac catheterization: techniques and tactics for managing radiation dose. Pediatr Radiol 36:146–153

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