inaner:交互式血管网络编辑和修复

Valentin Z. Nigolian, T. Igarashi, Hirofumi Seo
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引用次数: 1

摘要

血管网络重建是医生处理血管系统的日常实践的一个重要方面。例如,准确地表示血管网络,不仅是图形化的,而且以一种包含其结构的方式,可以用于运行模拟,计划医疗程序或识别现实生活中的疾病。因此,通过分割和骨架化,从三维医学图像序列重建血管网络。许多自动算法都能做到这一点,但在特定的极端情况下往往会失败。另一方面,手工方法也存在,但使用起来很繁琐,需要花费大量时间。在本文中,我们介绍了一个名为INVANER的交互式血管网络重建系统,该系统依赖于网络结构的类图表示。一般骨架是用自动方法获得的,医生可以在这种方法失败的地方手工修复局部缺陷。我们的系统使用具有局部效果的图形相关工具,并引入了两种新颖的工具,致力于解决自动提取血管结构中心线时出现的两个常见问题:所谓的“亲吻血管”和一种我们称之为“虚线血管”的现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INVANER: INteractive VAscular Network Editing and Repair
Vascular network reconstruction is an essential aspect of the daily practice of medical doctors working with vascular systems. Accurately representing vascular networks, not only graphically but also in a way that encompasses their structure, can be used to run simulations, plan medical procedures or identify real-life diseases, for example. A vascular network is thus reconstructed from a 3D medical image sequence via segmentation and skeletonization. Many automatic algorithms exist to do so but tend to fail for specific corner cases. On the other hand, manual methods exist as well but are tedious to use and require a lot of time. In this paper, we introduce an interactive vascular network reconstruction system called INVANER that relies on a graph-like representation of the network's structure. A general skeleton is obtained with an automatic method and medical practitioners are allowed to manually repair the local defects where this method fails. Our system uses graph-related tools with local effects and introduces two novel tools, dedicated to solving two common problems arising when automatically extracting the centerlines of vascular structures: so-called "Kissing Vessels" and a type of phenomenon we call "Dotted Vessels."
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