A Monte Carlo-Based Fiber Tracking Algorithm using Diffusion Tensor MRI

F. Prados, A. Bardera, M. Sbert, I. Boada, M. Feixas
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引用次数: 2

Abstract

Diffusion tensor magnetic resonance imaging, which measures directional information of water diffusion in the brain, has emerged as a powerful tool for human brain studies. In this paper, we introduce a new Monte Carlo-based fiber tracking approach to estimate brain connectivity. One of the main characteristics of this approach is that all parameters of the algorithm are automatically determined at each point using the entropy of the eigenvalues of the diffusion tensor. Experimental results show the good performance of the proposed approach
一种基于蒙特卡罗的扩散张量MRI光纤跟踪算法
扩散张量磁共振成像技术是一种测量水在大脑中扩散方向信息的技术,已成为研究人类大脑的有力工具。在本文中,我们介绍了一种新的基于蒙特卡罗的光纤跟踪方法来估计大脑连接。这种方法的一个主要特点是,算法的所有参数都是在每个点上使用扩散张量的特征值的熵自动确定的。实验结果表明,该方法具有良好的性能
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