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arXiv 2104.02097math.DGq-bio.NC
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基于激活函数的脑白质测地纤维追踪

Geodesic Fiber Tracking in White Matter using Activation Function

Temesgen Bihonegn, Sumit Kaushik, Avinash Bansal, Lubomir Vojtisek, Jan Slovak

摘要:

测地线射线追踪法在脑白质纤维结构重建中的应用表明是有效的。基于扩散张量空间上的合理度量,该方法可以提供多个解,并且对噪声和纤维曲率具有鲁棒性。扩散张量空间上度量的选择对这种方法的结果有很大的影响。我们的目标是建议指标和修改的算法,导致更满意的结果,在建设的白质束测地线。从DTI模态开始,我们建议在扩散张量空间上重新调整最初选择的度量,以增加各向同性区域中的大地测量成本。这种变化应该是共形的,以保持交叉纤维之间的角度。我们还建议增强方法,使其对噪声更具鲁棒性,并采用四阶张量数据,以便正确处理纤维交叉。

英文摘要:

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. 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 enhancing the methods to be more robust to noise and employing the fourth-order tensor data in order to handle the fiber crossings properly.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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