Suppr超能文献

冠状动脉CT血管造影中的图像质量:挑战与技术解决方案

Image quality in coronary CT angiography: challenges and technical solutions.

作者信息

Ghekiere Olivier, Salgado Rodrigo, Buls Nico, Leiner Tim, Mancini Isabelle, Vanhoenacker Piet, Dendale Paul, Nchimi Alain

机构信息

1 Department of Radiology, Centre Hospitalier Chrétien (CHC), Liège, Belgium.

2 Department of Radiology, Jessa Ziekenhuis, Hasselt, Belgium.

出版信息

Br J Radiol. 2017 Apr;90(1072):20160567. doi: 10.1259/bjr.20160567. Epub 2017 Mar 7.

Abstract

Multidetector CT angiography (CTA) has become a widely accepted examination for non-invasive evaluation of the heart and coronary arteries. Despite its ongoing success and worldwide clinical implementation, it remains an often-challenging procedure in which image quality, and hence diagnostic value, is determined by both technical and patient-related factors. Thorough knowledge of these factors is important to obtain high-quality examinations. In this review, we discuss several key elements that may adversely affect coronary CTA image quality as well as potential measures that can be taken to mitigate their impact. In addition, several recent vendor-specific advances and future directions to improve image quality are discussed.

摘要

多排螺旋CT血管造影(CTA)已成为一种广泛接受的用于心脏和冠状动脉无创评估的检查方法。尽管它不断取得成功并在全球范围内临床应用,但它仍然是一个经常具有挑战性的程序,其中图像质量以及因此的诊断价值由技术和患者相关因素共同决定。全面了解这些因素对于获得高质量的检查很重要。在本综述中,我们讨论了几个可能对冠状动脉CTA图像质量产生不利影响的关键因素,以及可以采取的减轻其影响的潜在措施。此外,还讨论了最近几家供应商的特定进展以及提高图像质量的未来方向。

相似文献

引用本文的文献

8
Innovative applications of advanced nanomaterials in cerebrovascular imaging.先进纳米材料在脑血管成像中的创新应用。
Front Bioeng Biotechnol. 2025 Jan 22;12:1456704. doi: 10.3389/fbioe.2024.1456704. eCollection 2024.

本文引用的文献

5
New horizons in cardiac CT.心脏CT的新视野
Clin Radiol. 2016 Aug;71(8):758-67. doi: 10.1016/j.crad.2016.01.022. Epub 2016 Feb 28.
10
Contrast injection protocols: it is time to get creative!对比剂注射方案:是时候发挥创造力了!
J Cardiovasc Comput Tomogr. 2015 Jan-Feb;9(1):28-30. doi: 10.1016/j.jcct.2015.01.006. Epub 2015 Jan 8.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验