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首页> 美国卫生研究院文献>NeuroImage : Clinical >Performance of unscented Kalman filter tractography in edema: Analysis of the two-tensor model
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Performance of unscented Kalman filter tractography in edema: Analysis of the two-tensor model

机译：无味卡尔曼滤镜在水肿中的表现：两张量模型的分析

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Diffusion MRI tractography is increasingly used in pre-operative neurosurgical planning to visualize critical fiber tracts. However, a major challenge for conventional tractography, especially in patients with brain tumors, is tracing fiber tracts that are affected by vasogenic edema, which increases water content in the tissue and lowers diffusion anisotropy. One strategy for improving fiber tracking is to use a tractography method that is more sensitive than the traditional single-tensor streamline tractography.We performed experiments to assess the performance of two-tensor unscented Kalman filter (UKF) tractography in edema. UKF tractography fits a diffusion model to the data during fiber tracking, taking advantage of prior information from the previous step along the fiber. We studied UKF performance in a synthetic diffusion MRI digital phantom with simulated edema and in retrospective data from two neurosurgical patients with edema affecting the arcuate fasciculus and corticospinal tracts. We compared the performance of several tractography methods including traditional streamline, UKF single-tensor, and UKF two-tensor. To provide practical guidance on how the UKF method could be employed, we evaluated the impact of using various seed regions both inside and outside the edematous regions, as well as the impact of parameter settings on the tractography sensitivity. We quantified the sensitivity of different methods by measuring the percentage of the patient-specific fMRI activation that was reached by the tractography.We expected that diffusion anisotropy threshold parameters, as well as the inclusion of a free water model, would significantly influence the reconstruction of edematous WM fiber tracts, because edema increases water content in the tissue and lowers anisotropy. Contrary to our initial expectations, varying the fractional anisotropy threshold and including a free water model did not affect the UKF two-tensor tractography output appreciably in these two patient datasets. The most effective parameter for increasing tracking sensitivity was the generalized anisotropy (GA) threshold, which increased the length of tracked fibers when reduced to 0.075. In addition, the most effective seeding strategy was seeding in the whole brain or in a large region outside of the edema.Overall, the main contribution of this study is to provide insight into how UKF tractography can work, using a two-tensor model, to begin to address the challenge of fiber tract reconstruction in edematous regions near brain tumors.
机译：扩散MRI术式成像越来越多地用于术前神经外科手术计划中，以可视化关键的纤维束。然而，传统的束摄影术，特别是脑肿瘤患者的主要挑战是追踪受血管性水肿影响的纤维束，这会增加组织中的水含量并降低扩散各向异性。改善纤维追踪的一种策略是使用比传统的单张流线型描记术更为灵敏的描记术方法。我们进行了实验，以评估两张无味卡尔曼滤镜（UKF）描记术在水肿中的表现。 UKF射线照相术在纤维跟踪过程中利用数据的扩散模型来拟合扩散模型，从而充分利用了先前沿着纤维步骤的信息。我们研究了UKF在具有模拟浮肿的合成扩散MRI数字体模中以及在两名神经外科水肿影响弓形筋膜和皮质脊髓束的神经外科患者的回顾性数据中的表现。我们比较了包括传统流线型，UKF单张量和UKF两张量在内的几种超声检查方法的性能。为了提供有关如何使用UKF方法的实用指导，我们评估了在水肿区域内外使用各种种子区域的影响，以及参数设置对束线照相敏感性的影响。我们通过测量患者的MRI特定功能性fMRI激活的百分比来量化不同方法的敏感性，我们期望扩散各向异性阈值参数以及包含自由水模型将显着影响重建方法的敏感性。水肿的WM纤维束，因为水肿会增加组织中的水分含量并降低各向异性。与我们最初的预期相反，在这两个患者数据集中，改变分数各向异性阈值并包括自由水模型不会明显影响UKF两张张胆管造影输出。提高跟踪灵敏度的最有效参数是广义各向异性（GA）阈值，当降低到0.075时，该阈值会增加跟踪纤维的长度。此外，最有效的播种策略是在整个脑部或在水肿以外的较大区域播种。总体而言，这项研究的主要贡献是使用两张张模型，深入了解UKF超声成像的工作原理，开始解决脑肿瘤附近水肿区域纤维束重建的挑战。

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