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An Algorithm of Segmentation for Virtual Endoscopy

机译:虚拟内窥镜检查的分割算法

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In this paper we present an automated region -growing algorithm designed to extract the pipe-like organs, i.e. bronchus, colon and blood vessel, from 3D CT images taken by helical CT scanner. The algorithm is called 3D scanline -filling algorithm, which is a kind of region-growing. This algorithm is very fast, and its parameters can be adjusted automatically. It can be utilized in Virtual Endoscopy system(VES), which is an important computer -aided diagnosis method. The data created after applying this algorithm can then be sent to VES for further process, be visualized and displayed on screen. The physician can observed the inner organ on the screen just like with a real endoscopy without any pain.
机译:在本文中,我们提出了一种自动区域 - 从螺旋CT扫描仪拍摄的3D CT图像中提取管状器官,即支气管,结肠和血管。该算法称为3D扫描线 - 填充算法,这是一种生长的区域。该算法非常快,可以自动调整其参数。它可以用于虚拟内窥镜系统(VES),这是一个重要的计算机辅助诊断方法。然后可以将应用此算法创建的数据发送到VES以进行进一步处理,可视化并在屏幕上显示。医生可以在屏幕上观察内风器官,就像一个真正的内窥镜检查没有任何疼痛。

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