Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-021-07952-4.pdf
Reference27 articles.
1. OECD (2020) Computed tomography (CT) exams (indicator). https://doi.org/10.1787/3c994537-en. Accessed on 17 June 2020
2. Hong JY, Han K, Jung JH, Kim JS (2019) Association of exposure to diagnostic low-dose ionizing radiation with risk of cancer among youths in South Korea. JAMA Netw Open 2(9):e1910584
3. Sodickson A, Baeyens PF, Andriole KP et al (2009) Recurrent CT, cumulative radiation exposure, and associated radiation-induced cancer risks from CT of adults. Radiology 251(1):175–184
4. Lurz M, Lell MM, Wuest W et al (2015) Automated tube voltage selection in thoracoabdominal computed tomography at high pitch using a third-generation dual-source scanner: Image quality and radiation dose performance. Invest Radiol 50(5):352–360
5. Mozaffary A, Trabzonlu TA, Kim D, Yaghmai V (2019) Comparison of tin filter-based spectral shaping CT and low-dose protocol for detection of urinary calculi. AJR Am J Roentgenol 212(4):808–814
Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Improving diagnostic confidence in low-dose dual-energy CTE with low energy level and deep learning reconstruction;European Journal of Radiology;2024-09
2. Multi-reader multiparametric DECT study evaluating different strengths of iterative and deep learning-based image reconstruction techniques;European Radiology;2024-07-24
3. Computed Tomography Effective Dose and Image Quality in Deep Learning Image Reconstruction in Intensive Care Patients Compared to Iterative Algorithms;Tomography;2024-06-07
4. Improving image quality of triple-low-protocol renal artery CT angiography with deep-learning image reconstruction: a comparative study with standard-dose single-energy and dual-energy CT with adaptive statistical iterative reconstruction;Clinical Radiology;2024-05
5. Deep learning image reconstruction technique based on sinogram with 99m Tc-3PRGD2 chest SPECT;2024-03-27
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3