[Possible Radiation Dose Reduction in Abdominal Plain CT Using Deep Learning Reconstruction].

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi

Published Date: Mar 3, 2023

Abstract

PURPOSE: The purposes of this study were to evaluate the low-contrast detectability of CT images assuming hepatocellular carcinoma and to determine whether dose reduction in abdominal plain CT imaging is possible.

Authors

Yasuhiro Onizuka

Division of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka, Japan.
Yuki Sakai

Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan.
Takashi Shirasaka

Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan.
Masatoshi Kondo

Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan.
Toyoyuki Kato

Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan.

Keywords

Algorithms Carcinoma, Hepatocellular Deep Learning Drug Tapering Humans Liver Neoplasms Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (36878551)

[Possible Radiation Dose Reduction in Abdominal Plain CT Using Deep Learning Reconstruction].

Abstract

Authors

Keywords

External Resources

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