A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T).
A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T).
复制标题
DOI：
10.1016/j.neuroimage.2010.01.064
复制
发表时间：
2010-05-01
期刊：
影响因子：
5.7
通讯作者：
Hammers, Alexander
中科院分区：
文献类型：
--
作者：
Keihaninejad, Shiva;Heckemann, Rolf A.;Fagiolo, Gianlorenzo;Symms, Mark R.;Hajnal, Joseph V.;Hammers, Alexander
由于基于人群的研究可能从具有不同场强的扫描仪获得图像，因此需要根据独立于场强的颅内体积（ICV）标准化局部脑体积的方法。我们发现了ICV估计的系统差异，在使用1.5T和3T扫描仪成像的健康受试者队列（n = 5）中进行了测试，并在两个独立队列中得到证实。这与脑脊液（CSF）强度的系统性差异有关，在3T与1.5T下，脑室中的CSF强度高于脑池中的CSF强度，这无法通过三种不同的应用偏倚校正算法消除。我们开发了一种基于MNI（蒙特利尔神经学研究所）空间中的组织概率图和反向归一化（反向脑掩模，RBM）的方法，并对手动ICV测量进行了验证。我们还将其与基于统计参数映射（SPM 5）和脑提取工具（FSL）的其他自动ICV估计方法进行了比较。所提出的RBM方法相当于手动ICV归一化，具有高组内相关系数（ICC = 0.99），并且在不同场强下可靠。RBM在一组健康受试者、一组阿尔茨海默病（AD）和轻度认知障碍（MCI）患者中实现了精确度和可靠性的最佳组合，并且可以用作常见的归一化框架。
As population-based studies may obtain images from scanners with different field strengths, a method to normalize regional brain volumes according to intracranial volume (ICV) independent of field strength is needed. We found systematic differences in ICV estimation, tested in a cohort of healthy subjects (n = 5) that had been imaged using 1.5T and 3T scanners, and confirmed in two independent cohorts. This was related to systematic differences in the intensity of cerebrospinal fluid (CSF), with higher intensities for CSF located in the ventricles compared with CSF in the cisterns, at 3T versus 1.5T, which could not be removed with three different applied bias correction algorithms. We developed a method based on tissue probability maps in MNI (Montreal Neurological Institute) space and reverse normalization (reverse brain mask, RBM) and validated it against manual ICV measurements. We also compared it with alternative automated ICV estimation methods based on Statistical Parametric Mapping (SPM5) and Brain Extraction Tool (FSL). The proposed RBM method was equivalent to manual ICV normalization with a high intraclass correlation coefficient (ICC = 0.99) and reliable across different field strengths. RBM achieved the best combination of precision and reliability in a group of healthy subjects, a group of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) and can be used as a common normalization framework.
登录
查看更多内容
影响因子：
--
作者：
MURPHY, DGM;DECARLI, C;HORWITZ, B
通讯作者：
HORWITZ, B
影响因子：
4.2
作者：
Chey, Jeanyung;Na, Dong Gyu;Hong, Seung Bong
通讯作者：
Hong, Seung Bong
影响因子：
5.7
作者：
Quarantelli, M;Larobina, M;Alfano, B
通讯作者：
Alfano, B
影响因子：
3.6
作者：
Obenaus, A;Yong-Hing, CJ;Sarty, GE
通讯作者：
Sarty, GE
影响因子：
5.7
作者：
Rex, DE;Shattuck, DW;Toga, AW
通讯作者：
Toga, AW