Suppr超能文献

三重核杂交磁共振成像同时显示肺结构和功能。

Simultaneous imaging of lung structure and function with triple-nuclear hybrid MR imaging.

机构信息

Academic Unit of Radiology, University of Sheffield, C Floor, Royal Hallamshire Hospital, Glossop Road, Sheffield S10 2JF, England.

出版信息

Radiology. 2013 Apr;267(1):251-5. doi: 10.1148/radiol.12121153. Epub 2012 Dec 21.

Abstract

PURPOSE

To re-engineer a standard clinical magnetic resonance (MR) imaging system to enable the acquisition, in the same breath hold, of lung images from two hyperpolarized gases (helium 3 [(3)He] and xenon 129 [(129)Xe]) with simultaneous registered anatomic proton (hydrogen 1 [(1)H]) MR images of lung structure.

MATERIALS AND METHODS

Studies with (3)He and (129)Xe were performed with National Research Ethics Committee approval, with informed consent from the volunteer. (1)H-(3)He-(129)Xe MR imaging was achieved in the same breath by using mutually decoupled nested radiofrequency coil hardware capable of transmit and receive on each respective nucleus without power cross talk. MR pulse sequences were also developed for rapid switching between each nucleus. The system is demonstrated with triple-nuclear lung images in a healthy individual following inhalation of a mixture of (3)He and (129)Xe gases.

RESULTS

Spatially and temporally registered images of all three nuclei were obtained with high signal to noise ratio and high spatial resolution in the same breath.

CONCLUSION

The multinuclear technique is capable of providing registered lung images with mutually complementary functional and structural spatial information.

摘要

目的

对标准临床磁共振(MR)成像系统进行重新设计,以便在同一屏气过程中同时采集两种超极化气体(氦 3 [(3)He]和氙 129 [(129)Xe])的肺部图像,并同时获得肺部结构的配准质子(氢 1 [(1)H])MR 图像。

材料与方法

本研究获得了国家伦理委员会的批准,并获得了志愿者的知情同意。(1)H-(3)He-(129)Xe MR 成像是通过使用相互解耦的嵌套射频线圈硬件实现的,该硬件能够在不发生功率串扰的情况下对每个核进行发射和接收。还开发了用于在每个核之间快速切换的 MR 脉冲序列。该系统在吸入(3)He 和(129)Xe 气体混合物的健康个体中进行了三重核肺部图像的演示。

结果

在同一屏气过程中,获得了所有三个核的空间和时间配准的高信噪比和高空间分辨率的图像。

结论

该多核技术能够提供具有相互补充的功能和结构空间信息的配准肺部图像。

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