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基于动态磁敏感对比增强磁共振成像获得的脑灌注参数准确性的相关研究:一项模拟研究

Aspects on the accuracy of cerebral perfusion parameters obtained by dynamic susceptibility contrast MRI: a simulation study.

作者信息

Knutsson Linda, Ståhlberg Freddy, Wirestam Ronnie

机构信息

Department of Medical Radiation Physics, Lund University Hospital, Lund, Sweden.

出版信息

Magn Reson Imaging. 2004 Jul;22(6):789-98. doi: 10.1016/j.mri.2003.12.002.

Abstract

Several studies have indicated that deconvolution based on singular value decomposition (SVD) is a robust concept for retrieval of cerebral blood flow in dynamic susceptibility contrast (DSC) MRI. However, the behavior of the technique under typical experimental conditions has not been completely investigated. In the present study, cerebral perfusion was simulated using different temporal resolutions, different signal-to-noise ratios (S/Ns), different shapes of the arterial input function (AIF), different signal drops, and different cut-off levels in the SVD deconvolution. Using Zierler's area-to-height relationship in combination with the central volume theorem, calculations of regional cerebral blood volume (rCBV), regional cerebral blood flow (rCBF), and regional mean transit time (rMTT) were accomplished, based on simulated DSC-MRI signal curves corresponding to artery, gray matter (GM), white matter (WM), and ischemic tissue. Gaussian noise was added to the noise-free signal curves to generate different S/Ns. We studied image time intervals of 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0 s, as well as different degrees of signal decrease. The singular-value threshold in the SVD procedure and the shape of the AIF were also varied. Increased rCBF was seen when noise was added, especially for rCBF in WM at the larger image time intervals. The rCBF showed large standard deviations using a low threshold value. A prolonged time interval led to a lower absolute value of rCBF both in GM and WM, and a low/broad AIF also underestimated the rCBF. When a larger maximal signal decrease was assumed, smaller standard deviations were observed. No systematic change of the average rCBV was observed with increasing noise or with increasing image time interval. At S/N = 40, a low cut-off value resulted in an rCBF that was closer to the true value. Furthermore, at low S/N it was difficult to differentiate ischemic tissue from WM.

摘要

多项研究表明,基于奇异值分解(SVD)的反卷积是动态磁敏感对比增强(DSC)磁共振成像中用于脑血流检索的一种可靠方法。然而,该技术在典型实验条件下的表现尚未得到充分研究。在本研究中,使用不同的时间分辨率、不同的信噪比(S/N)、不同形状的动脉输入函数(AIF)、不同的信号下降程度以及SVD反卷积中的不同截止水平来模拟脑灌注。结合齐勒尔的面积与高度关系和中心容积定理,基于对应于动脉、灰质(GM)、白质(WM)和缺血组织的模拟DSC-MRI信号曲线,完成了局部脑血容量(rCBV)、局部脑血流量(rCBF)和局部平均通过时间(rMTT)的计算。将高斯噪声添加到无噪声信号曲线上以生成不同的S/N。我们研究了0.5、1.0、1.5、2.0、2.5和3.0秒的图像时间间隔,以及不同程度的信号下降。SVD过程中的奇异值阈值和AIF的形状也有所变化。添加噪声时会出现rCBF增加,特别是在较大图像时间间隔时WM中的rCBF。使用低阈值时,rCBF的标准差较大。较长的时间间隔导致GM和WM中的rCBF绝对值较低,低/宽AIF也会低估rCBF。当假设最大信号下降幅度较大时,观察到的标准差较小。随着噪声增加或图像时间间隔增加,未观察到平均rCBV的系统性变化。在S/N = 40时,低截止值导致rCBF更接近真实值。此外,在低S/N时,很难将缺血组织与WM区分开来。

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