Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction
Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction
复制标题
DOI：
10.1109/42.993126
复制
发表时间：
2002-02-01
影响因子：
10.6
通讯作者：
Bullitt, E
中科院分区：
文献类型：
--
作者：
Aylward, SR;Bullitt, E
在二维和三维图像中提取管状物体的中心线是许多临床图像分析任务的一部分。管状物体中心线提取的一种常见方法是基于强度脊遍历。在本文中，我们评估了初始化、噪声和奇点对强度岭遍历的影响，并提出了最小化这些影响的多尺度启发式和最佳尺度措施。使用模拟和临床数据的蒙特卡罗实验用于量化这些“动态规模”增强如何满足有关速度、准确性和自动化的临床需求。特别是，我们表明动态尺度脊遍历对其初始参数设置不敏感，几乎不需要额外的计算开销，以亚体素精度跟踪中心线，通过分支点，并处理显着的图像噪声。我们还说明了该方法在涉及来自不同器官、患者和成像方式的临床数据中的各种管状结构的医学应用中的能力。
The extraction of the centerlines of tubular objects in two and three-dimensional images is a part of many clinical image analysis tasks. One common approach to tubular object centerline extraction is based on intensity ridge traversal. In this paper, we evaluate the effects of initialization, noise, and singularities on intensity ridge traversal and present multiscale heuristics and optimal-scale measures that minimize these effects. Monte Carlo experiments using simulated and clinical data are used to quantify how these "dynamic-scale" enhancements address clinical needs regarding speed, accuracy, and automation. In particular, we show that dynamic-scale ridge traversal is insensitive to its initial parameter settings, operates with little additional computational overhead, tracks centerlines with subvoxel accuracy, passes branch points, and handles significant image noise. We also illustrate the capabilities of the method for medical applications involving a variety of tubular structures in clinical data from different organs, patients, and imaging modalities.