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基于激活函数的白质纤维轨迹追踪

Geodesic fiber tracking in white matter using activation function.

机构信息

Department of Mathematics and Statistics, Masaryk University, Czechia.

Department of Mathematics and Statistics, Masaryk University, Czechia; Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic, Czechia.

出版信息

Comput Methods Programs Biomed. 2021 Sep;208:106283. doi: 10.1016/j.cmpb.2021.106283. Epub 2021 Jul 22.

Abstract

BACKGROUND AND OBJECTIVE

The geodesic ray-tracing method has shown its effectiveness for the reconstruction of fibers in white matter structure. Based on reasonable metrics on the spaces of the diffusion tensors, it can provide multiple solutions and get robust to noise and curvatures of fibers. The choice of the metric on the spaces of diffusion tensors has a significant impact on the outcome of this method. Our objective is to suggest metrics and modifications of the algorithms leading to more satisfactory results in the construction of white matter tracts as geodesics.

METHODS

Starting with the DTI modality, we propose to rescale the initially chosen metric on the space of diffusion tensors to increase the geodetic cost in the isotropic regions. This change should be conformal in order to preserve the angles between crossing fibers. We also suggest to enhance the methods to be more robust to noise and to employ the fourth order tensor data in order to handle the fiber crossings properly.

RESULTS

We propose a way to choose the appropriate conformal class of metrics where the metric gets scaled according to tensor anisotropy. We use the logistic functions, which are commonly used in statistics as cumulative distribution functions. To prevent deviation of geodesics from the actual paths, we propose a hybrid ray-tracing approach. Furthermore, we suggest how to employ diagonal projections of 4th order tensors to perform fiber tracking in crossing regions.

CONCLUSIONS

The algorithms based on the newly suggested methods were succesfuly implemented, their performance was tested on both synthetic and real data, and compared to some of the previously known approaches.

摘要

背景与目的

测地线光线追踪方法已显示出其在重建白质结构纤维方面的有效性。基于扩散张量空间上的合理度量,它可以提供多种解决方案,并对纤维的噪声和曲率具有鲁棒性。扩散张量空间上的度量选择对该方法的结果有重大影响。我们的目标是提出度量和算法的修改,以在构建作为测地线的白质束方面获得更令人满意的结果。

方法

从 DTI 模态开始,我们建议重新缩放扩散张量空间中最初选择的度量,以增加各向同性区域的测地线成本。这种变化应该是保角的,以保持交叉纤维之间的角度。我们还建议增强方法以提高对噪声的鲁棒性,并采用四阶张量数据以正确处理纤维交叉。

结果

我们提出了一种选择适当的度量规范类的方法,其中根据张量各向异性对度量进行缩放。我们使用逻辑函数,它通常作为累积分布函数用于统计学中。为了防止测地线偏离实际路径,我们提出了一种混合光线追踪方法。此外,我们建议如何利用四阶张量的对角投影在交叉区域执行纤维追踪。

结论

基于新提出的方法成功实现了算法,在合成和真实数据上对其性能进行了测试,并与一些先前已知的方法进行了比较。

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