Suppr超能文献

使用自动团注检测算法(MR SmartPrep)优化钆增强磁共振血管造影。原始研究。

Optimization of gadolinium-enhanced magnetic resonance angiography using an automated bolus-detection algorithm (MR SmartPrep). Original investigation.

作者信息

Ho V B, Foo T K

机构信息

Department of Radiology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.

出版信息

Invest Radiol. 1998 Sep;33(9):515-23. doi: 10.1097/00004424-199809000-00006.

Abstract

Gadolinium (Gd)-enhanced three-dimensional (3D) magnetic resonance angiography (MRA) is a quick method for performing noninvasive diagnostic angiography. A major technical obstacle to the successful implementation of this technique, however, is the proper coordination of the data acquisition with the contrast bolus. In this article, the use of an automated bolus-detection algorithm (MR SmartPrep), which triggers the initiation of data acquisition for Gd-enhanced 3D MRA is reviewed. Potential applications of this evolving technique are illustrated.

摘要

钆(Gd)增强三维(3D)磁共振血管造影(MRA)是一种用于进行无创诊断性血管造影的快速方法。然而,成功实施该技术的一个主要技术障碍是数据采集与造影剂团注的适当协调。在本文中,对使用自动团注检测算法(MR SmartPrep)进行了综述,该算法可触发钆增强3D MRA的数据采集启动。阐述了这种不断发展的技术的潜在应用。

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