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A Review of Vessel Extraction Techniques and Algorithms

机译：血管提取技术与算法综述

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Vessel segmentation algorithms are the critical components of circulatory blood vessel analysis systems. We present a survey of vessel extraction techniques and algorithms. We put the various vessel extraction approaches and techniques in perspective by means of a classification of the existing research. While we have mainly targeted the extraction of blood vessels, neurosvascular structure in particular, we have also reviewed some of the segmentation methods for the tubular objects that show similar characteristics to vessels. We have divided vessel segmentation algorithms and techniques into six main categories: (1) pattern recognition techniques, (2) model-based approaches, (3) tracking-based approaches, (4) artificial intelligence-based approaches, (5) neural network-based approaches, and (6) tube-like object detection approaches. Some of these categories are further divided into subcategories. We have also created tables to compare the papers in each category against such criteria as dimensionality, input type, preprocessing, user interaction, and result type.
机译：血管分割算法是循环血管分析系统的关键组成部分。我们目前对血管提取技术和算法进行了调查。通过对现有研究的分类，我们对各种血管提取方法和技术进行了展望。虽然我们主要针对血管的提取，特别是神经血管的结构，但我们也回顾了一些显示与血管相似特征的管状物体的分割方法。我们将血管分割算法和技术分为六个主要类别：（1）模式识别技术，（2）基于模型的方法，（3）基于跟踪的方法，（4）基于人工智能的方法，（5）神经网络基于方法，以及（6）管状物体检测方法。这些类别中的一些进一步分为子类别。我们还创建了表格以将每个类别中的论文与维度，输入类型，预处理，用户交互和结果类型之类的标准进行比较。

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