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本文引用的文献

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Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue.从脑组织微观持久角结构得出的概率性解剖连接性。
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Q-ball imaging.Q球成像
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Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution.使用球面反卷积从扩散加权磁共振成像数据直接估计纤维取向密度函数。
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New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter.用于表征脑白质中受限和受限制水扩散的新型建模与实验框架。
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Probabilistic Monte Carlo based mapping of cerebral connections utilising whole-brain crossing fibre information.基于概率蒙特卡洛方法利用全脑交叉纤维信息绘制脑连接图谱。
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Persistent Angular Structure: new insights from diffusion MRI data. Dummy version.持续性角状结构:扩散磁共振成像数据的新见解。虚拟版本。
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Validation of diffusion spectrum magnetic resonance imaging with manganese-enhanced rat optic tracts and ex vivo phantoms.
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Automatic segmentation of thalamic nuclei from diffusion tensor magnetic resonance imaging.基于扩散张量磁共振成像的丘脑核自动分割
Neuroimage. 2003 Jun;19(2 Pt 1):391-401. doi: 10.1016/s1053-8119(03)00044-2.
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Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging.利用扩散成像对人类丘脑与皮层之间的连接进行无创图谱绘制。
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High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity.高角分辨率扩散成像揭示了体素内白质纤维的异质性。
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在临床扫描仪上使用扩散纤维交叉模型对q球成像进行验证。

Validation of q-ball imaging with a diffusion fibre-crossing phantom on a clinical scanner.

作者信息

Perrin Muriel, Poupon Cyril, Rieul Bernard, Leroux Patrick, Constantinesco André, Mangin Jean-François, Lebihan Denis

机构信息

Unité de Neuroradiologie Anatomique et Fonctionnelle, Service Hospitalier Frédéric Joliot, CEA SHFJ UNAF.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2005 May 29;360(1457):881-91. doi: 10.1098/rstb.2005.1650.

DOI:10.1098/rstb.2005.1650
PMID:16087433
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1854933/
Abstract

Magnetic resonance (MR) diffusion imaging provides a valuable tool used for inferring structural anisotropy of brain white matter connectivity from diffusion tensor imaging. Recently, several high angular resolution diffusion models were introduced in order to overcome the inadequacy of the tensor model for describing fibre crossing within a single voxel. Among them, q-ball imaging (QBI), inherited from the q-space method, relies on a spherical Radon transform providing a direct relationship between the diffusion-weighted MR signal and the orientation distribution function (ODF). Experimental validation of these methods in a model system is necessary to determine the accuracy of the methods and to optimize them. A diffusion phantom made up of two textile rayon fibre (comparable in diameter to axons) bundles, crossing at 90 degrees , was designed and dedicated to ex vivo q-ball validation on a clinical scanner. Normalized ODFs were calculated inside regions of interest corresponding to monomodal and bimodal configurations of underlying structures. Three-dimensional renderings of ODFs revealed monomodal shapes for voxels containing single-fibre population and bimodal patterns for voxels located within the crossing area. Principal orientations were estimated from ODFs and were compared with a priori structural fibre directions, validating efficiency of QBI for depicting fibre crossing. In the homogeneous regions, QBI detected the fibre angle with an accuracy of 19 degrees and in the fibre-crossing region with an accuracy of 30 degrees .

摘要

磁共振(MR)扩散成像提供了一种有价值的工具,用于从扩散张量成像推断脑白质连接的结构各向异性。最近,为了克服张量模型在描述单个体素内纤维交叉方面的不足,引入了几种高角分辨率扩散模型。其中,从q空间方法继承而来的q球成像(QBI)依赖于球形拉东变换,该变换提供了扩散加权MR信号与方向分布函数(ODF)之间的直接关系。在模型系统中对这些方法进行实验验证对于确定方法的准确性和优化方法是必要的。设计了一种由两个纺织人造丝纤维(直径与轴突相当)束组成、以90度交叉的扩散模型,并专门用于在临床扫描仪上进行离体q球验证。在与基础结构的单峰和双峰配置相对应的感兴趣区域内计算归一化ODF。ODF的三维渲染显示,包含单纤维群体的体素呈现单峰形状,而位于交叉区域内的体素呈现双峰模式。从ODF估计主要方向,并将其与先验结构纤维方向进行比较,验证了QBI描绘纤维交叉的效率。在均匀区域,QBI检测纤维角度的精度为19度,在纤维交叉区域精度为30度。