Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images.
Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images.
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DOI：
10.1016/s1361-8415(98)80009-1
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发表时间：
1998-06-01
影响因子：
10.9
通讯作者：
Kikinis, R
中科院分区：
文献类型：
--
作者：
Sato, Y;Nakajima, S;Kikinis, R
本文介绍了一种用于增强三维医学图像中的血管和支气管等曲线结构的方法。提出了一种三维线增强滤波器，其目的是区分线结构和其他结构，并恢复各种宽度的线结构。3-D线滤波器基于3-D Hessian矩阵的特征值的组合。多尺度集成制定单尺度滤波器响应之间的最大值，并检查其特性，以获得在制定中的参数的选择标准。所得到的多尺度线滤波图像提供了显着改善的分割和可视化的曲线结构。该方法的有用性证明了分割和可视化的脑血管磁共振成像（MRI）和磁共振血管造影（MRA），支气管从胸部CT，和肝脏血管（门静脉）从腹部CT。
This paper describes a method for the enhancement of curvilinear structures such as vessels and bronchi in three-dimensional (3-D) medical images. A 3-D line enhancement filter is developed with the aim of discriminating line structures from other structures and recovering line structures of various widths. The 3-D line filter is based on a combination of the eigenvalues of the 3-D Hessian matrix. Multi-scale integration is formulated by taking the maximum among single-scale filter responses, and its characteristics are examined to derive criteria for the selection of parameters in the formulation. The resultant multi-scale line-filtered images provide significantly improved segmentation and visualization of curvilinear structures. The usefulness of the method is demonstrated by the segmentation and visualization of brain vessels from magnetic resonance imaging (MRI) and magnetic resonance angiography (MRA), bronchi from a chest CT, and liver vessels (portal veins) from an abdominal CT.