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Characterization of White and Gray Matters in healthy brain: An in-vivo Diffusion Kurtosis Imaging study

机译:健康大脑中白色和灰色物质的表征:体内扩散峰度成像研究

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The extensions of diffusion weighted magnetic resonance imaging (DW-MRI) technique such as Diffusion Tensor Imaging (DTI) and Diffusion Kurtosis Imaging (DKI) are useful in understanding the complex cellular micro-structures non-invasively. DTI is used to quantify the three-dimensional water diffusion in biological tissues by assuming the diffusion to be Gaussian, whereas DKI which is an extension of DTI, quantifies the deviation of water diffusion from Gaussian model. In this study, we focus on finding the correlation between DTI and DKI parameters for characterizing the brain regions such as White Matter (WM) and Gray Matter (GM) of healthy human brain. The data obtained from DKI scans on nine healthy volunteers are used in this study. Parameters such as Mean Kurtosis (MK) and Fractional Anisotropy (FA) were estimated for the two brain regions, WM and GM. Correlation analysis was performed between MK and FA in WM and GM. Significant differences in correlation results were observed for WM and GM. These preliminary findings indicate that this correlation measure could be used to characterize WM and GM regions in normal human brain. This could be used in applications such as segmentation of WM and GM and additionally bear potential for discriminating pathologies.
机译:扩散加权磁共振成像(DW-MRI)技术的扩展,例如扩散张量成像(DTI)和扩散峰态成像(DKI),对于非侵入性理解复杂的细胞微结构很有用。 DTI用于通过假设扩散为高斯来量化生物组织中的三维水扩散,而DKI是DTI的扩展,用于量化水扩散与高斯模型的偏差。在这项研究中,我们专注于发现DTI和DKI参数之间的相关性,以表征健康人脑的大脑区域,例如白质(WM)和灰质(GM)。在这项研究中使用了从DKI扫描中对9位健康志愿者获得的数据。估计了两个大脑区域WM和GM的平均峰度(MK)和分数各向异性(FA)等参数。在WM和GM中,MK和FA之间进行了相关分析。对于WM和GM,相关结果存在显着差异。这些初步发现表明,这种相关测量可用于表征正常人脑中的WM和GM区域。这可以用于诸如WM和GM分割的应用程序中,并且还具有区分病理学的潜力。

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