Generation of the Pseudo CT Image Based on the Deep Learning Technique Aimed for the Attenuation Correction of the PET Image-Reference-Cited by-同舟云学术

Generation of the Pseudo CT Image Based on the Deep Learning Technique Aimed for the Attenuation Correction of the PET Image

Published:2020 Issue:11 Volume:76 Page:1152-1162
ISSN:0369-4305
Container-title:Japanese Journal of Radiological Technology
language:en
Short-container-title:Nippon Hoshasen Gijutsu Gakkai Zasshi

Author:

Fukui Ryohei¹,Fujii Susumu²,Ninomiya Hiroki²,Fujiwara Yasuhiro²,Ida Tomonobu²

Affiliation:

1. Division of Clinical Radiology, Tottori University Hospital(Current address: Department of Radiological Technology, Graduate School of Health Sciences, Okayama University)

2. Division of Clinical Radiology, Tottori University Hospital

Publisher

Japanese Society of Radiological Technology

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jjrt/76/11/76_2020_JSRT_76.11.1152/_pdf

Reference22 articles.

1. 1) Müller NL. Advances in imaging. Eur Respir J 2001; 18(5): 867-871.

2. 2) Messa C, Bettinardi V, Picchio M, et al. PET/CT in diagnostic oncology. Q J Nucl Med Mol Imaging 2004; 48(2): 66-75.

3. 3) Heiss WD, Rosenberg GA, Thiel A, et al. Neuroimaging in vascular cognitive impairment: a state-of-the-art review. BMC Med 2016; 14(1): 174-182.

4. 4) Roland H, Ron JD, François B, et al. Impact of attenuation correction on the accuracy of FDG-PET in patients with abdominal tumors: a free-response ROC analysis. Eur J Nucl Med 2000; 27(9): 1365-1371.

5. 5) Richard EC, Margaret EDW, Michael VG. A method for post injection PET transmission measurements with a rotating source. J Nucl Med 1988; 29(9): 1558-1567.

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