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Evaluating kurtosis-based diffusion MRI tissue models for white matter with fiber ball imaging

机译:用纤维球成像评估白质的基于Kurtosis的扩散MRI组织模型

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In order to quantify well-defined microstructural properties of brain tissue from diffusion MRI (dMRI) data, tissue models are typically employed that relate biological features, such as cell morphology and cell membrane permeability, to the diffusion dynamics. A variety of such models have been proposed for white matter, and their validation is a topic of active interest. In this paper, three different tissue models are tested by comparing their predictions for a specific microstructural parameter to a value measured independently with a recently proposed dMRI method known as fiber ball imaging (FBI). The three tissue models are all constructed with the diffusion and kurtosis tensors, and they are hence compatible with diffusional kurtosis imaging. Nevertheless, the models differ significantly in their details and predictions. For voxels with fractional anisotropies (FAs) exceeding 0.5, all three are reasonably consistent with FBI. However, for lower FA values, one of these, called the white matter tract integrity (WMTI) model, is found to be in much better accord with FBI than the other two, suggesting that the WMTI model has a broader range of applicability.
机译:为了量化来自扩散MRI(DMRI)数据的脑组织的明确明确的微观结构性质,通常使用组织模型,其将这种生物学特征(例如细胞形态和细胞膜渗透率)涉及扩散动力学。已经提出了各种这种模型的白金,其验证是一个积极兴趣的主题。在本文中,通过将特定微结构参数的预测与最近提出的DMRI方法与称为纤维球成像(FBI)独立测量的值来测试三种不同的组织模型。三种组织模型全部由扩散和峰氏菌纹体构建,因此它们与扩散峰成像相容。尽管如此,模型的细节和预测差异很大。对于具有超过0.5的分数各向异性(FAS)的体素,所有三种与FBI合理一致。然而,对于较低的FA值,其中一个称为白质子诚信(WMTI)模型中的一个,发现与FBI更好地比另外两个更好,这表明WMTI模型具有更广泛的适用性。

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