Mori K, Hasegawa J, Suenaga Y, Toriwaki J
Graduate School of Engineering, Nagoya University, Nagoya-shi, Japan.
IEEE Trans Med Imaging. 2000 Feb;19(2):103-14. doi: 10.1109/42.836370.
This paper describes a method for the automated anatomical labeling of the bronchial branch extracted from a three-dimensional (3-D) chest X-ray CT image and its application to a virtual bronchoscopy system (VBS). Automated anatomical labeling is necessary for implementing an advanced computer-aided diagnosis system of 3-D medical images. This method performs the anatomical labeling of the bronchial branch using the knowledge base of the bronchial branch name. The knowledge base holds information on the bronchial branch as a set of rules for its anatomical labeling. A bronchus region is automatically extracted from a given 3-D CT image. A tree structure representing the essential structure of the extracted bronchus is recognized from the bronchus region. Anatomical labeling is performed by comparing this tree structure of the bronchus with the knowledge base. As an application, we implemented the function to automatically present the anatomical names of the branches that are shown in the currently rendered image in real time on the VBS. The result showed that the method could segment about 57% of the branches from CT images and extracted a tree structure of about 91% in branches in the segmented bronchus. The anatomical labeling method could assign the correct branch name to about 93% of the branches in the extracted tree structure. Anatomical names were appropriately displayed in the endoscopic view.
本文描述了一种从三维(3-D)胸部X射线CT图像中提取支气管分支的自动解剖标记方法及其在虚拟支气管镜系统(VBS)中的应用。自动解剖标记对于实现先进的3-D医学图像计算机辅助诊断系统是必要的。该方法利用支气管分支名称的知识库对支气管分支进行解剖标记。知识库将支气管分支的信息作为其解剖标记的一组规则保存。从给定的3-D CT图像中自动提取支气管区域。从支气管区域识别出表示提取的支气管基本结构的树状结构。通过将支气管的这种树状结构与知识库进行比较来进行解剖标记。作为应用,我们实现了在VBS上实时自动显示当前渲染图像中所示分支的解剖名称的功能。结果表明,该方法可以从CT图像中分割出约57%的分支,并在分割出的支气管中提取出约91%的分支的树状结构。解剖标记方法可以为提取的树状结构中约93%的分支赋予正确的分支名称。解剖名称在内窥镜视图中得到了适当显示。