Suppr超能文献

体内行同心圆形回波平面轨迹的光谱成像。

Spectroscopic imaging using concentrically circular echo-planar trajectories in vivo.

机构信息

Department of Radiological Sciences, University of California, Los Angeles, California 90095, USA.

出版信息

Magn Reson Med. 2012 Jun;67(6):1515-22. doi: 10.1002/mrm.23184. Epub 2011 Oct 17.

Abstract

An alternative to the standard echo-planar spectroscopic imaging technique is presented, spectroscopic imaging using concentrically circular echo-planar trajectories (SI-CONCEPT). In contrast to the conventional chemical shift imaging data, the sampled data from each set of concentric rings were regridded into Cartesian space. Usage of concentric k-space trajectories has the advantage of requiring significantly reduced slew rates than echo-planar spectroscopic imaging, allowing for the collection of higher spectral bandwidths and opening the door for high-bandwidth echo-planar styled spectroscopic imaging at higher magnetic fields. Before two-dimensional spatial and one-dimensional spectral encoding, the volume of interest was localized using the standard point-resolved spectroscopy sequence. The feasibility of using concentric k-space trajectories is demonstrated, and the spatial profiles and representative spectra are compared with the standard echo-planar spectroscopic imaging technique in a gray matter phantom containing metabolites at physiological concentrations and healthy human brain in vivo. The symmetric nature of the concentric circles also reduces the number of required excitations for a given resolution by a factor of two. Possible artifacts and limitations are discussed.

摘要

提出了一种替代标准的 echo-planar 波谱成像技术的方法,即使用同心圆形 echo-planar 轨迹的波谱成像(SI-CONCEPT)。与传统的化学位移成像数据相比,从每组同心环采集的采样数据被重新网格化到笛卡尔空间。使用同心 k 空间轨迹的优点是需要显著降低转换率,比 echo-planar 波谱成像更快,从而允许采集更高的光谱带宽,并为在更高磁场下进行高带宽 echo-planar 风格的波谱成像打开了大门。在进行二维空间和一维光谱编码之前,使用标准的点分辨波谱序列对感兴趣的体积进行定位。证明了使用同心 k 空间轨迹的可行性,并在包含生理浓度代谢物的灰质体模和体内健康人脑的情况下,将空间轮廓和代表性光谱与标准的 echo-planar 波谱成像技术进行了比较。同心圆的对称性质还将给定分辨率所需的激发次数减少了两倍。讨论了可能的伪影和限制。

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