Suppr超能文献

高场强动脉自旋标记功能磁共振成像中血氧水平依赖信号的有害影响。

Detrimental effects of BOLD signal in arterial spin labeling fMRI at high field strength.

作者信息

Lu Hanzhang, Donahue Manus J, van Zijl Peter C M

机构信息

Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.

出版信息

Magn Reson Med. 2006 Sep;56(3):546-52. doi: 10.1002/mrm.20976.

Abstract

Arterial spin labeling (ASL) MRI is a useful technique for noninvasive measurement of cerebral blood flow (CBF) in humans. High field strength provides a unique advantage for ASL because of longer blood T(1) relaxation times, making this technique a promising quantitative approach for functional brain mapping. However, higher magnetic field also introduces new challenges. Here it is shown that the CBF response determined using ASL functional MRI (fMRI) at 3.0 T contains significant contamination from blood-oxygenation-level-dependent (BOLD) effects. Due to interleaved acquisitions of label and control images, difference in blood oxygenation status between these two scans can cause incomplete cancellation of the static signal upon image subtraction, resulting in a BOLD-related artifact in the estimated CBF hemodynamics. If not accounted for, such an effect can complicate the interpretation of the ASL results, e.g., causing a delayed onset and offset of the response, or inducing an artifactual poststimulus undershoot. The BOLD contribution also decreases the sensitivity of ASL-based fMRI. Correction methods are proposed to reduce the artifact, giving increased number of activated voxels (18+/-5%, P=0.006) and more accurate estimation of CBF temporal characteristics.

摘要

动脉自旋标记(ASL)磁共振成像(MRI)是一种用于无创测量人体脑血流量(CBF)的有用技术。高场强为ASL提供了独特优势,因为血液的T(1)弛豫时间更长,这使得该技术成为一种有前景的功能性脑图谱定量方法。然而,更高的磁场也带来了新的挑战。本文表明,在3.0 T场强下使用ASL功能磁共振成像(fMRI)测定的CBF反应包含来自血氧水平依赖(BOLD)效应的显著干扰。由于标记图像和对照图像的交错采集,这两次扫描之间血液氧合状态的差异会导致图像相减时静态信号无法完全抵消,从而在估计的CBF血流动力学中产生与BOLD相关的伪影。如果不加以考虑,这种效应会使ASL结果的解释复杂化,例如导致反应的起始和结束延迟,或诱发刺激后人为的信号下冲。BOLD的影响还会降低基于ASL的fMRI的灵敏度。本文提出了校正方法以减少伪影,校正后激活体素数量增加(18±5%,P = 0.006),并且对CBF时间特征的估计更加准确。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验