Segmentation of the brain using direction-averaged signal of DWI images
Segmentation of the brain using direction-averaged signal of DWI images
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DOI：
10.1016/j.mri.2020.02.010
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发表时间：
2020-06-01
影响因子：
2.5
通讯作者：
Garyfallidis, Eleftherios
中科院分区：
文献类型：
--
作者：
Cheng, Hu;Newman, Sharlene;Garyfallidis, Eleftherios
在弥散MRI图像空间中进行脑组织分割具有独特的优势。提出了一种基于方向平均弥散加权成像（DWI）信号的图像分割方法。通过拟合作为b值函数的方向平均DWI信号可以获得两个图像：一个图像在灰质和白色物质之间具有上级对比度;一个图像具有突出的CSF对比度。可以构建伪T1加权图像，并且可以应用标准分割工具。使用SPM 12在HCP数据集上对该方法进行了测试，并显示出与使用具有相同分辨率的T1加权图像进行分割的良好一致性。对于具有完整DWI数据的GM或WM，Dice评分均大于0.88，并且在扩散方向数量、壳数量和空间分辨率方面相对于DWI数据的二次采样非常稳定。
Segmentation of brain tissue in diffusion MRI image space has some unique advantages. A novel segmentation method using the direction-averaged diffusion weighted imaging (DWI) signal is proposed. Two images can be obtained from the fitting of the direction-averaged DWI signal as a function of b-value: one with superior contrast between the gray matter and white matter; one with prominent CSF contrast. A pseudo T1 weighted image can be constructed and standard segmentation tools can be applied. The method was tested on the HCP dataset using SPM12, and showed good agreement with segmentation using the T1 weighted image with the same resolution. The Dice score was all greater than 0.88 for GM or WM with full DWI data and very stable against subsampling of the DWI data in number of diffusion directions, number of shells, and spatial resolution.