Determination of detection sensitivity for cerebral microbleeds using susceptibility-weighted imaging.

Determination of detection sensitivity for cerebral microbleeds using susceptibility-weighted imaging.
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DOI:
10.1002/nbm.3551
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发表时间:
2017-04
期刊:
影响因子:
2.9
通讯作者:
Haacke, E. Mark
Haacke, E. Mark
中科院分区:
医学3区
文献类型:
--
作者:
Buch, Sagar;Cheng, Yu-Chung N.;Hu, Jiani;Liu, Saifeng;Beaver, John;Rajagovindan, Rajasimhan;Haacke, E. Mark

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脑微出血(CMBS)是一种小的慢性脑出血,可能是由大脑小血管的结构异常引起的。由于血液降解产物的顺磁性,可以通过使用特定的磁共振成像(MRI)序列在体内检测CMBS。磁化率加权成像(SWI)不仅可以检测铁的变化和CMBS,而且还可以将它们与钙化区分开来,两者都可能是神经退行性疾病的重要MR生物标志物。此外,SWI还可用于CMBS中铁的定量。SWI和梯度回波(GE)成像是检测铁沉积和CMBS最常用的两种方法。这项研究综合分析了在梯度回波幅度、相位和SWI合成图像上使用CMB时检测到的体素数量与分辨率、信噪比、回波时间、场强和磁化率之间的关系。磁化率图用于量化有效磁感值的偏差,并确定CMB定量的最佳回声时间(TE)。我们观察到从震级图像中检测CMB的敏感性呈非线性趋势,而从相位和SWI合成图像中检测CMB的敏感性呈线性趋势。对于信噪比为20:1的1个体素直径的CMB,其最佳TE值为7T时为3ms,3T时为7ms,1.5T时为14ms。通过对信号损耗和可检测性的模拟,得到了理论预测公式。
Cerebral microbleeds (CMBs) are small chronic brain hemorrhages which are likely caused by structural abnormalities of the small vessels of the brain. Owing to the paramagnetic properties of blood degradation products, CMBs can be detected in vivo by using specific magnetic resonance imaging (MRI) sequences. Susceptibility weighted imaging (SWI) can be used to not only detect iron changes and CMBs, but also differentiate them from calcifications, both of which may be important MR based biomarkers for neurodegenerative diseases. Moreover, SWI can be used to quantify the iron in CMBs. SWI and gradient echo (GE) imaging are the two most common methods to detect iron deposition and CMBs. This study provides a comprehensive analysis for the number of voxels detected in the presence of a CMB on gradient-echo magnitude, phase and SWI composite images as a function of resolution, signal-to-noise, echo time, field strength and susceptibility using in silico experiments. Susceptibility maps were used to quantify the bias in effective susceptibility value and to determine the optimal echo time (TE) for CMB quantification. We observed a non-linear trend with susceptibility for CMB detection from the magnitude images while a linear trend with that from the phase and SWI composite images. The optimal TE value for CMB quantification was found to be 3ms at 7T, 7ms at 3T and 14ms at 1.5T for a CMB of 1 voxel diameter with an SNR of 20:1. The simulations of signal loss and detectability are used to generate theoretical formulae for predictions.
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