• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Artificial Intelligence and CT Image Reconstruction: Potential of a New Era in Radiation Dose Reduction.

作者信息

Kambadakone Avinash

机构信息

Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.

出版信息

J Am Coll Radiol. 2020 May;17(5):649-651. doi: 10.1016/j.jacr.2019.12.025. Epub 2020 Jan 28.

DOI:10.1016/j.jacr.2019.12.025
PMID:32004484
Abstract
摘要

相似文献

1
Artificial Intelligence and CT Image Reconstruction: Potential of a New Era in Radiation Dose Reduction.人工智能与CT图像重建:降低辐射剂量新时代的潜力
J Am Coll Radiol. 2020 May;17(5):649-651. doi: 10.1016/j.jacr.2019.12.025. Epub 2020 Jan 28.
2
CT image denoising methods for image quality improvement and radiation dose reduction.CT 图像降噪方法可提高图像质量,降低辐射剂量。
J Appl Clin Med Phys. 2024 Feb;25(2):e14270. doi: 10.1002/acm2.14270. Epub 2024 Jan 19.
3
Complex Relationship Between Artificial Intelligence and CT Radiation Dose.人工智能与 CT 辐射剂量之间的复杂关系。
Acad Radiol. 2022 Nov;29(11):1709-1719. doi: 10.1016/j.acra.2021.10.024. Epub 2021 Nov 24.
4
Enhancing cardiac CT imaging quality: Precision metrics for assessing image quality for AI-powered reconstructions.提高心脏CT成像质量:用于评估人工智能重建图像质量的精确指标。
Diagn Interv Imaging. 2024 Mar;105(3):85-86. doi: 10.1016/j.diii.2023.11.004. Epub 2023 Dec 4.
5
The evolution of image reconstruction for CT-from filtered back projection to artificial intelligence.CT 图像重建技术的演进——从滤波反投影到人工智能。
Eur Radiol. 2019 May;29(5):2185-2195. doi: 10.1007/s00330-018-5810-7. Epub 2018 Oct 30.
6
Effects of radiation dose reduction on diagnostic performance of 3rd generation Dual Source CT pulmonary angiography.第三代双源 CT 肺动脉造影中降低辐射剂量对诊断性能的影响。
Eur J Radiol. 2021 Jan;134:109426. doi: 10.1016/j.ejrad.2020.109426. Epub 2020 Nov 20.
7
A knowledge-based iterative model reconstruction algorithm: can super-low-dose cardiac CT be applicable in clinical settings?基于知识的迭代模型重建算法:超小剂量心脏 CT 能否适用于临床?
Acad Radiol. 2014 Jan;21(1):104-10. doi: 10.1016/j.acra.2013.10.002.
8
CT radiation dose and iterative reconstruction techniques.CT辐射剂量与迭代重建技术。
AJR Am J Roentgenol. 2015 Apr;204(4):W384-92. doi: 10.2214/AJR.14.13241.
9
Towards lower radiation and contrast media dose CT angiography of the aorta by artificial intelligence-supported iterative reconstructions.通过人工智能支持的迭代重建实现主动脉CT血管造影更低辐射剂量和对比剂用量
Eur J Radiol. 2022 Jun;151:110327. doi: 10.1016/j.ejrad.2022.110327. Epub 2022 Apr 21.
10
Basics of iterative reconstruction methods in computed tomography: A vendor-independent overview.计算机断层扫描中迭代重建方法的基础:与供应商无关的概述。
Eur J Radiol. 2018 Dec;109:147-154. doi: 10.1016/j.ejrad.2018.10.025. Epub 2018 Oct 26.

引用本文的文献

1
AI-Driven Advances in Low-Dose Imaging and Enhancement-A Review.人工智能驱动的低剂量成像与增强技术进展——综述
Diagnostics (Basel). 2025 Mar 11;15(6):689. doi: 10.3390/diagnostics15060689.
2
The impact of deep learning reconstruction in low dose computed tomography on the evaluation of interstitial lung disease.深度学习重建在低剂量 CT 中对间质性肺疾病评估的影响。
PLoS One. 2023 Sep 27;18(9):e0291745. doi: 10.1371/journal.pone.0291745. eCollection 2023.
3
The promise and limitations of artificial intelligence in musculoskeletal imaging.
人工智能在肌肉骨骼成像中的前景与局限
Front Radiol. 2023 Aug 7;3:1242902. doi: 10.3389/fradi.2023.1242902. eCollection 2023.
4
Radiation Dose Reduction Opportunities in Vascular Imaging.血管成像中的辐射剂量降低机会。
Tomography. 2022 Oct 21;8(5):2618-2638. doi: 10.3390/tomography8050219.
5
Tempering Expectations on the Medical Artificial Intelligence Revolution: The Medical Trainee Viewpoint.对医学人工智能革命的期望调适:医学实习生的观点
JMIR Med Inform. 2022 Aug 15;10(8):e34304. doi: 10.2196/34304.
6
Computed Tomography Image Features under Convolutional Neural Network Algorithm in Analysis of Inflammatory Factor Level and Prognosis of Patients with Hepatitis B Virus-Associated Acute-on-Chronic Liver Failure.基于卷积神经网络算法的 CT 图像特征分析乙型肝炎病毒相关慢加急性肝衰竭患者炎症因子水平及预后
J Healthc Eng. 2021 Nov 8;2021:2110612. doi: 10.1155/2021/2110612. eCollection 2021.
7
Upstream Machine Learning in Radiology.放射学中的上游机器学习。
Radiol Clin North Am. 2021 Nov;59(6):967-985. doi: 10.1016/j.rcl.2021.07.009.
8
Impact of novel deep learning image reconstruction algorithm on diagnosis of contrast-enhanced liver computed tomography imaging: Comparing to adaptive statistical iterative reconstruction algorithm.新型深度学习图像重建算法对增强 CT 肝脏成像诊断的影响:与自适应统计迭代重建算法的比较。
J Xray Sci Technol. 2021;29(6):1009-1018. doi: 10.3233/XST-210953.