Radiation dose optimization potential of deep learning-based reconstruction for multiphase hepatic CT: A clinical and phantom study-Reference-Cited by-同舟云学术

Radiation dose optimization potential of deep learning-based reconstruction for multiphase hepatic CT: A clinical and phantom study

Published:2022-06 Issue: Volume:151 Page:110280
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Nagayama Yasunori,Goto Makoto,Sakabe Daisuke,Emoto Takafumi,Shigematsu Shinsuke,Taguchi Narumi,Maruyama Natsuki,Takada Sentaro,Uchimura Ryutaro,Hayashi Hidetaka,Kidoh Masafumi,Oda Seitaro,Nakaura Takeshi,Funama Yoshinori,Hatemura Masahiro,Hirai Toshinori

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference26 articles.

1. Cancer Statistics, 2021;Siegel;CA A Cancer J. Clin.,2021

2. Projected cancer risks from computed tomographic scans performed in the United States in 2007;Berrington de Gonzalez;Arch. Internal Med.,2009

3. Patients undergoing recurrent CT scans: assessing the magnitude;Rehani;Eur. Radiol.,2020

4. Image noise and liver lesion detection with MDCT: a phantom study;Kanal;AJR Am. J. Roentgenol.,2011

5. The evolution of image reconstruction for CT-from filtered back projection to artificial intelligence;Willemink;Eur. Radiol.,2019

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