Deep learning trained algorithm maintains the quality of half-dose contrast-enhanced liver computed tomography images: Comparison with hybrid iterative reconstruction

Author:

Zeng Lingming,Xu Xu,Zeng Wen,Peng Wanlin,Zhang Jinge,Sixian Hu,Liu Keling,Xia Chunchao,Li ZhenlinORCID

Funder

West China Hospital, Sichuan University

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Reference46 articles.

1. Multi-detector CT: Liver protocol and recent developments;Kartalis;Eur. J. Radiol.,2017

2. The “As Low As Reasonably Achievable” (ALARA) Principle:a Brief Historical Overview and a Bibliometric Analysis of the Most Cited Publications;Yeung,2019

3. The most optimal procedure:radiation exposure as low as reasonably achievable, efficient, faster, and safer,and the use of the latest technologies;Cay;Pacing Clin. Electrophysiol.,2019

4. Domain progressive 3D residual convolution network to improve low-dose CT imaging;Yin;IEEE Trans. Med. Imaging,2019

5. Prior iterative reconstruction (PIR) to lower radiation dose and preserve radiologist performance for multiphase liver CT: a multi-reader pilot study;Mohammadinejad;Abdom. Radiol. (NY),2019

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