基于贝叶斯框架的DTI白质纤维束状图

Xi Wu
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引用次数: 0

摘要

扩散张量- mri (DTI)白质纤维跟踪是根据水分子在白质中的扩散来追踪白质纤维束及其图像。本文利用纤维束的结构信息和当前体素中的DTI信息来估计到下一个体素的跟踪方向的概率密度函数。该算法在贝叶斯决策框架下,采用加权抽样的方法得到跟踪结果。通过多重跟踪显示白质纤维束的拓扑和空间信息的随机三维图像,并应用于实际的DTI数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DTI white matter fiber tractography using bayesian framework
Diffusion tensor-MRI (DTI) White matter fiber tracking traces white matter fibber bundle and its image according to the diffusion of water molecular in the white matter. This paper uses structure information of fiber bundle and DTI information in current voxel to estimate the probability density function of the tracking direction to the next voxel. This algorithm is under the framework of Bayesian decision and uses weighted sampling to get the tracking result. Stochastic three dimension image of topologic and spatial information of white matter fiber bundle was demonstrated through multiply tracking and was applicant in real DTI data.
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