Univ. Bordeaux, LaBRI, UMR 5800, F-33400 Talence, France; CNRS, LaBRI, UMR 5800, F-33400 Talence, France.
Univ. Bordeaux, LaBRI, UMR 5800, F-33400 Talence, France; CNRS, LaBRI, UMR 5800, F-33400 Talence, France.
Med Image Anal. 2017 Dec;42:89-101. doi: 10.1016/j.media.2017.07.008. Epub 2017 Jul 29.
This paper presents new methods to study the shape of tubular organs. Determining precise cross-sections is of major importance to perform geometrical measurements, such as diameter, wall-thickness estimation or area measurement. Our first contribution is a robust method to estimate orthogonal planes based on the Voronoi Covariance Measure. Our method is not relying on a curve-skeleton computation beforehand. This means our orthogonal plane estimator can be used either on the skeleton or on the volume. Another important step towards tubular organ characterization is achieved through curve-skeletonization, as skeletons allow to compare two tubular organs, and to perform virtual endoscopy. Our second contribution is dedicated to correcting common defects of the skeleton by new pruning and recentering methods. Finally, we propose a new method for curve-skeleton extraction. Various results are shown on different types of segmented tubular organs, such as neurons, airway-tree and blood vessels.
本文提出了新的方法来研究管状器官的形状。确定精确的横截面对于执行几何测量（如直径、壁厚估计或面积测量）非常重要。我们的第一个贡献是一种基于 Voronoi 协方差度量的稳健方法，用于估计正交平面。我们的方法不依赖于预先进行曲线骨架计算。这意味着我们的正交平面估计器可以用于骨架或体积。实现管状器官特征化的另一个重要步骤是通过曲线骨架化来实现，因为骨架允许比较两个管状器官，并进行虚拟内窥镜检查。我们的第二个贡献是致力于通过新的修剪和重新中心化方法来纠正骨架的常见缺陷。最后，我们提出了一种新的曲线骨架提取方法。在不同类型的分割管状器官（如神经元、气道树和血管）上展示了各种结果。
