Automatic 2D/3D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter
Automatic 2D/3D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter
复制标题
使用加权对称滤波器自动增强多模态图像中的 2D/3D 血管
DOI：
10.1109/tmi.2017.2756073
复制
发表时间：
2017
影响因子：
10.6
通讯作者：
Jiang Liu
中科院分区：
文献类型：
--
作者：
Yitian Zhao;Yalin Zheng;Yonghuai Liu;Yifan Zhao;Lingling Luo;Siyuan Yang;Tong Na;Yongtian Wang;Jiang Liu
血管结构的自动检测对于理解许多血管病变的机制、诊断和治疗具有重要意义。然而，自动血管检测仍然是一个悬而未决的问题，因为多种因素造成了困难，例如对比度差、背景不均匀、解剖变化以及图像采集过程中存在噪声。在本文中，我们提出了一种新的2-D/3-D对称滤波器来解决这些具有挑战性的问题，以增强不同成像方式的血管。该滤波器不仅考虑了局部相位特征，利用正交滤波器区分线和边，而且利用正交滤波器模糊和移位响应的加权几何平均值，对不规则形状的容器有更大的容错性。因此，在典型的成像条件下，该滤光片对血管特征表现出强烈的响应。基于八个公开可用的数据集（六个二维数据集，一个三维数据集和一个三维合成数据集）的结果表明，该方法的性能优于其他最先进的方法。
Automated detection of vascular structures is of great importance in understanding the mechanism, diagnosis, and treatment of many vascular pathologies. However, automatic vascular detection continues to be an open issue because of difficulties posed by multiple factors, such as poor contrast, inhomogeneous backgrounds, anatomical variations, and the presence of noise during image acquisition. In this paper, we propose a novel 2-D/3-D symmetry filter to tackle these challenging issues for enhancing vessels from different imaging modalities. The proposed filter not only considers local phase features by using a quadrature filter to distinguish between lines and edges, but also uses the weighted geometric mean of the blurred and shifted responses of the quadrature filter, which allows more tolerance of vessels with irregular appearance. As a result, this filter shows a strong response to the vascular features under typical imaging conditions. Results based on eight publicly available datasets (six 2-D data sets, one 3-D data set, and one 3-D synthetic data set) demonstrate its superior performance to other state-of-the-art methods.