Suppr超能文献

用于具有超短回波时间和时变梯度的磁共振成像的系统延迟和涡流的表征与校正

Characterization and correction of system delays and eddy currents for MR imaging with ultrashort echo-time and time-varying gradients.

作者信息

Atkinson Ian C, Lu Aiming, Thulborn Keith R

机构信息

Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL 60612, USA.

出版信息

Magn Reson Med. 2009 Aug;62(2):532-7. doi: 10.1002/mrm.22016.

Abstract

Reconstruction of high-quality MR images requires precise knowledge of the dynamic gradient magnetic fields used to perform spatial encoding. System delays and eddy currents can perturb the gradient fields in both time and space and significantly degrade the image quality for acquisitions with an ultrashort echo time or with rapidly varying readout gradient waveforms. A technique for simultaneously characterizing and correcting the system delay and linear- and zero-order eddy currents of an MR system is proposed. A single set of calibration scans were used to compute a set of system constants that describe the effects of system delays and eddy currents to enable accurate reconstruction of data collected before uncorrected eddy currents have decayed. The ability of the proposed technique to reproducibly characterize small fixed delays (<50 micros) and short-time constant (<1 ms) eddy currents is demonstrated.

摘要

高质量磁共振(MR)图像的重建需要精确了解用于执行空间编码的动态梯度磁场。系统延迟和涡流会在时间和空间上干扰梯度场,并显著降低超短回波时间或具有快速变化读出梯度波形采集的图像质量。本文提出了一种同时表征和校正MR系统的系统延迟、线性和零阶涡流的技术。使用一组校准扫描来计算一组系统常数,这些常数描述了系统延迟和涡流的影响,以便在未校正的涡流衰减之前准确重建所采集的数据。结果表明,所提出的技术能够可重复地表征小的固定延迟(<50微秒)和短时间常数(<1毫秒)的涡流。

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