TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction.
TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction.
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DOI：
10.1109/tmi.2017.2787589
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发表时间：
2018-07
影响因子：
10.6
通讯作者：
Landman BA
中科院分区：
文献类型：
--
作者：
Lyu I;Kim SH;Woodward ND;Styner MA;Landman BA
皮质区域的正确几何表示是皮质形状分析和标志提取的基本任务。然而，由于高度可变且复杂的皮质折叠模式，出现了重大挑战。在本文中，我们提出了一种用于自动脑沟曲线提取（TRACE）的新型拓扑图表示。实际上，重建的表面会受到图像采集/表面重建期间引入的噪声影响。在表面存在噪声的情况下，TRACE 通过采用线简化方法来确定稳定的脑沟底部区域，防止脑沟折叠模式被显着平滑。然后通过 Dijkstra 的最短路径算法在确定区域中的连通图上追踪脑沟曲线。为了进行验证，我们在再现性数据集上使用了最先进的表面重建管道。实验结果表明，TRACE 比现有方法 (Li et al. 2010) 具有更高的再现性和对噪声的鲁棒性，两个表面重建管道的误差相对改善超过 20%。此外，TRACE 提取的脑沟曲线与手动描绘的初级脑沟曲线吻合良好。我们还提供了参数选择来控制提取的脑沟曲线的质量，并显示了参数选择对结果曲线的影响。
A proper geometric representation of the cortical regions is a fundamental task for cortical shape analysis and landmark extraction. However, a significant challenge has arisen due to the highly variable, convoluted cortical folding patterns. In this paper, we propose a novel topological graph representation for automatic sulcal curve extraction (TRACE). In practice, the reconstructed surface suffers from noise influences introduced during image acquisition/surface reconstruction. In the presence of noise on the surface, TRACE determines stable sulcal fundic regions by employing the line simplification method that prevents the sulcal folding pattern from being significantly smoothed out. The sulcal curves are then traced over the connected graph in the determined regions by the Dijkstra’s shortest path algorithm. For validation, we used state-of-the-art surface reconstruction pipelines on a reproducibility dataset. The experimental results showed higher reproducibility and robustness to noise in TRACE than the existing method (Li et al. 2010) with over 20% relative improvement in error for both surface reconstruction pipelines. In addition, the extracted sulcal curves by TRACE were well-aligned with manually delineated primary sulcal curves. We also provided a choice of parameters to control quality of the extracted sulcal curves and showed the influences of the parameter selection on the resulting curves.