用于探测组织微结构的松弛-扩散谱成像技术

Ye Wu, Xiaoming Liu, Xinyuan Zhang, Khoi Minh Huynh, Sahar Ahmad, Pew-Thian Yap
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引用次数: 0

摘要

脑组织微观结构的特点是不同程度的扩散性和横向弛豫率。与主要提供扩散信息的单回波时间(TE)标准扩散磁共振成像不同,弛豫-扩散磁共振成像涉及多个回波时间和多个扩散加权强度,用于探测弛豫与扩散之间的组织特异性耦合。在这里,我们介绍了一种弛豫-扩散模型,它能描述扩散长度尺度频谱的组织表观弛豫系数,同时还能排除体素内取向异质性的影响。我们使用临床扫描仪获取的涉及不同健康状况的体内数据集对该模型进行了检验。实验结果表明,我们的模型能满足异质组织微观结构的要求,并能区分具有相似扩散率但不同弛豫率的纤维束。带有样本数据的代码可在 https://github.com/dryewu/RDSI 上获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture.

Brain tissue microarchitecture is characterized by heterogeneous degrees of diffusivity and rates of transverse relaxation. Unlike standard diffusion MRI with a single echo time (TE), which provides information primarily on diffusivity, relaxation-diffusion MRI involves multiple TEs and multiple diffusion-weighting strengths for probing tissue-specific coupling between relaxation and diffusivity. Here, we introduce a relaxation-diffusion model that characterizes tissue apparent relaxation coefficients for a spectrum of diffusion length scales and at the same time factors out the effects of intra-voxel orientation heterogeneity. We examined the model with an in vivo dataset, acquired using a clinical scanner, involving different health conditions. Experimental results indicate that our model caters to heterogeneous tissue microstructure and can distinguish fiber bundles with similar diffusivities but different relaxation rates. Code with sample data is available at https://github.com/dryewu/RDSI.

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