Automatic model-based tracing algorithm for vessel segmentation and diameter estimation
Automatic model-based tracing algorithm for vessel segmentation and diameter estimation
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DOI：
10.1016/j.cmpb.2010.03.004
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发表时间：
2010-11-01
影响因子：
6.1
通讯作者：
Assimakis, Nicholas
中科院分区：
文献类型：
--
作者：
Delibasis, Konstantinos K.;Kechriniotis, Aristides I.;Assimakis, Nicholas
这项工作提出了一种能够分割整个血管树并计算数字眼科图像中血管直径和方向的自动算法。该算法基于可以呈现任意复杂形状的血管参数模型以及量化血管模型与给定血管造影图像的匹配程度的简单匹配度量。描述了一种自动血管追踪算法，该算法利用几何模型并主动寻找血管分叉，无需用户干预。所提出的算法使用几何血管模型来确定每个检测到的中心轴像素处的血管直径。因此，通过最大化血管分割精度，使用公开的 DRIVE 数据库的眼科图像子集对该算法进行微调。然后将所提出的算法应用于 DRIVE 数据库的其余眼科图像。该算法的分割结果在准确性方面与其他六种成熟的血管检测技术相比具有优势，在大多数可用的眼科图像中优于其中三种技术。该算法实现了亚像素均方根中心轴定位误差，优于基于非专家的血管分割，而血管直径估计的精度与基于非专家的血管分割相当。 (C) 2010 Elsevier Ireland Ltd. 保留所有权利。
An automatic algorithm capable of segmenting the whole vessel tree and calculate vessel diameter and orientation in a digital ophthalmologic image is presented in this work. The algorithm is based on a parametric model of a vessel that can assume arbitrarily complex shape and a simple measure of match that quantifies how well the vessel model matches a given angiographic image. An automatic vessel tracing algorithm is described that exploits the geometric model and actively seeks vessel bifurcation, without user intervention. The proposed algorithm uses the geometric vessel model to determine the vessel diameter at each detected central axis pixel. For this reason, the algorithm is fine tuned using a subset of ophthalmologic images of the publically available DRIVE database, by maximizing vessel segmentation accuracy. The proposed algorithm is then applied to the remaining ophthalmological images of the DRIVE database. The segmentation results of the proposed algorithm compare favorably in terms of accuracy with six other well established vessel detection techniques, outperforming three of them in the majority of the available ophthalmologic images. The proposed algorithm achieves subpixel root mean square central axis positioning error that outperforms the non-expert based vessel segmentation, whereas the accuracy of vessel diameter estimation is comparable to that of the non-expert based vessel segmentation. (C) 2010 Elsevier Ireland Ltd. All rights reserved.