Suppr超能文献

用于7T场强下氢质子磁共振成像((1)H MRI)和碳-13磁共振波谱成像((13)C MRSI)的双核射频线圈的设计与测试

Design and test of a double-nuclear RF coil for (1)H MRI and (13)C MRSI at 7T.

作者信息

Rutledge Omar, Kwak Tiffany, Cao Peng, Zhang Xiaoliang

机构信息

Department of Radiology and Biomedical Imaging, University of California San Francisco, CA, USA.

Department of Radiology and Biomedical Imaging, University of California San Francisco, CA, USA; UCSF - UC Berkeley Joint Graduate Group in Bioengineering, San Francisco & Berkeley, CA, USA; California Institute for Quantitative Biosciences (QB3), San Francisco, CA, USA.

出版信息

J Magn Reson. 2016 Jun;267:15-21. doi: 10.1016/j.jmr.2016.04.001. Epub 2016 Apr 7.

Abstract

RF coil operation at the ultrahigh field of 7T is fraught with technical challenges that limit the advancement of novel human in vivo applications at 7T. In this work, a hybrid technique combining a microstrip transmission line and a lumped-element L-C loop coil to form a double-nuclear RF coil for proton magnetic resonance imaging and carbon magnetic resonance spectroscopy at 7T was proposed and investigated. Network analysis revealed a high Q-factor and excellent decoupling between the coils. Proton images and localized carbon spectra were acquired with high sensitivity. The successful testing of this novel double-nuclear coil demonstrates the feasibility of this hybrid design for double-nuclear MR imaging and spectroscopy studies at the ultrahigh field of 7T.

摘要

在7T超高场下运行的射频(RF)线圈面临着诸多技术挑战,这些挑战限制了7T新型人体体内应用的发展。在这项工作中,提出并研究了一种将微带传输线和集总元件L-C环形线圈相结合的混合技术,以形成用于7T质子磁共振成像和碳磁共振波谱的双核射频线圈。网络分析显示该线圈具有高Q值和出色的去耦性能。以高灵敏度采集了质子图像和局部碳谱。这种新型双核线圈的成功测试证明了这种混合设计用于7T超高场双核磁共振成像和波谱研究的可行性。

相似文献

9
A volume microstrip RF coil for MRI microscopy.一种用于 MRI 显微镜的容积微带射频线圈。
Magn Reson Imaging. 2012 Jan;30(1):70-7. doi: 10.1016/j.mri.2011.07.010. Epub 2011 Nov 4.

引用本文的文献

1
Overview and progress of X-nuclei magnetic resonance imaging in biomedical studies.X核磁共振成像在生物医学研究中的概述与进展
Magn Reson Lett. 2023 Jun 10;3(4):327-343. doi: 10.1016/j.mrl.2023.05.002. eCollection 2023 Nov.

本文引用的文献

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