Evaluating kurtosis-based diffusion MRI tissue models for white matter with fiber ball imaging.
Evaluating kurtosis-based diffusion MRI tissue models for white matter with fiber ball imaging.
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DOI：
10.1002/nbm.3689
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发表时间：
2017-05
影响因子：
2.9
通讯作者：
Helpern JA
中科院分区：
文献类型：
--
作者：
Jensen JH;McKinnon ET;Glenn GR;Helpern JA
为了从扩散MRI （dMRI）数据中量化定义明确的脑组织微观结构特性，通常采用组织模型，将细胞形态和细胞膜通透性等生物学特征与扩散动力学联系起来。已经提出了多种这样的白质模型，它们的验证是一个积极感兴趣的话题。在本文中，通过比较三种不同的组织模型对特定微观结构参数的预测值与最近提出的dMRI方法（称为纤维球成像（FBI））独立测量的值，对其进行了测试。这三种组织模型都是由扩散和峰度张量构建的，因此它们与扩散峰度成像（DKI）兼容。然而，这些模型在细节和预测上有很大的不同。对于分数各向异性（FA）超过0.5的体素，三者都与FBI相当一致。然而，对于较低的FA值，其中一种称为白质束完整性（WMTI）模型被发现比其他两种模型更符合FBI，这表明WMTI模型具有更广泛的适用性。
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 the 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 (DKI). Nevertheless, the models differ significantly in their details and predictions. For voxels with fractional anisotropies (FA) 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.
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影响因子：
2.9
作者：
Jensen, Jens H.;Helpern, Joseph A.
通讯作者：
Helpern, Joseph A.
影响因子：
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通讯作者：
van Westen, Danielle
影响因子：
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作者：
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通讯作者：
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影响因子：
3.3
作者：
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通讯作者：
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影响因子：
4.2
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通讯作者：
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