Development of CT Pelvimetry Using Deep Learning Based Reconstruction
Author:
Affiliation:
1. Clinical Radiology Service, Maizuru Kyosai Hospital
Publisher
Japanese Society of Radiological Technology
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jjrt/76/1/76_2020_JSRT_76.1.16/_pdf
Reference10 articles.
1. 7) Zaretsky MV, Alexander JM, Mclntire DD, et al. Magnetic resonance imaging pelvimetry and prediction of labor dystocia. Obset Gynecol 2005; 106 (5 pt 1): 919–926.
2. 8) Sporri S, Thoeny HC, Raio L, et al. MRI imaging pelvimetry: a useful adjunct in the treatment of women at risk for dystocia? AJR Am J Roentgenol 2002 Jul; 179(1): 137–144.
3. 10) Kelaranta A, Mäkelä T, Kaasalainen T, et al. Fetal radiation dose in three common CT examinations during pregnancy - Monte Carlo study. Phys Med 2017; 43: 199–206.
4. 11) Martinsen AC, Risdal M, Bay T, et al. [Pelvimetry with compute tomography]. Tidsskr Nor Laegeforen 2005; 125(15): 2023–2025. (in Norwegian)
5. 12) Phexell E, Söderberg M, Bolejko A. Estimation of foetal radiation dose in a comparative study of pelvimetry with conventional radiography and different computer tomography methods. Int J Radiol Radiat Ther 2018; 5(4): 243–247.
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