Methodological improvements in voxel-based analysis of diffusion tensor images: applications to study the impact of apolipoprotein E on white matter integrity.
Methodological improvements in voxel-based analysis of diffusion tensor images: applications to study the impact of apolipoprotein E on white matter integrity.
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基于体素扩散张量图像的方法学改进：研究载脂蛋白E对白质完整性的影响的应用。
DOI：
10.1002/jmri.24157
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发表时间：
2014-02
影响因子：
4.4
通讯作者：
Bartzokis, George
中科院分区：
文献类型：
--
作者：
Newlander, Shawn M.;Chu, Alan;Sinha, Usha S.;Lu, Po H.;Bartzokis, George
目的：在基于体素的分析(VBA)之前，使用定制的预处理，在具有降低(ApoEε2)和增加(ApoEε4)阿尔茨海默病风险的特定基因的14名正常受试者中，识别表观扩散系数(ADC)和分数各向异性(FA)的区域差异。在1.5T下采集的扩散张量图像(DTI)在仿射配准和非线性配准之前用全变分张量正则化算法去噪，从而为所有受试者的图像体积生成一个公共参考帧。不同核大小的各向异性和各向同性平滑被应用于VBA之前的比对数据，以确定按等位基因状态分离的队列之间的地区差异。去噪张量数据上的VBA确定了与健康的老年携带者相比，APOEε4的FA降低的区域。在统计测试之前，使用去噪张量和各向异性平滑获得了最一致的结果。相比之下，各向同性平滑仅针对较小的过滤器大小确定了区域差异，强调该方法在较大核大小的FA值中引入了偏差。基于体素的DTI分析可以在低信噪比图像上执行，以使用所提出的预处理技术来检测队列中的细微区域差异。
To identify regional differences in apparent diffusion coefficient (ADC) and fractional anisotropy (FA) using customized preprocessing prior to voxel-based analysis (VBA) in 14 normal subjects with the specific genes that decrease (APOE ε2) and that increase (APOE ε4) the risk of Alzheimer’s Disease. Diffusion Tensor images (DTI) acquired at 1.5 T were denoised with a total variation tensor regularization algorithm prior to affine and nonlinear registration to generate a common reference frame for the image volumes of all subjects. Anisotropic and isotropic smoothing with varying kernel sizes was applied to the aligned data prior to VBA to determine regional differences between cohorts segregated by allele status. VBA on the denoised tensor data identified regions of reduced FA in APOE ε4 compared to the APOE ε2 healthy older carriers. The most consistent results were obtained using the denoised tensor and anisotropic smoothing prior to statistical testing. In contrast, isotropic smoothing identified regional differences for small filter sizes alone, emphasizing that this method introduces bias in FA values for higher kernel sizes. Voxel-based DTI analysis can be performed on low SNR images to detect subtle regional differences in cohorts using the proposed pre-processing techniques.
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影响因子：
5.7
作者：
Jenkinson, M;Bannister, P;Smith, S
通讯作者：
Smith, S
影响因子：
4.8
作者：
Smith, SM
通讯作者：
Smith, SM
影响因子：
9.9
作者：
Wishart, H. A.;Saykin, A. J.;Rhodes, C. H.
通讯作者：
Rhodes, C. H.
影响因子：
4.2
作者：
Bartzokis G
通讯作者：
Bartzokis G
DOI：
10.3233/jad-2009-1163
发表时间：
2009
期刊：
Journal of Alzheimer's disease : JAD
影响因子：
--
作者：
Honea RA;Vidoni E;Harsha A;Burns JM
通讯作者：
Burns JM