Wang Huafeng, Chen Yuexi, Li Lihong, Pan Haixia, Gu Xianfeng, Liang Zhengrong
Faculty of Dept. of Radiology, Stony Brook University, New York, USA, and School of Software, Beihang University of Beijing, China.
Master student of School of Software, Beihang University of Beijing, China.
Comput Methods Biomech Biomed Eng Imaging Vis. 2014;13:1-14. doi: 10.1007/978-3-319-03590-1_1.
Computed tomographic colonography (CTC) has been developed for screening of colon cancer. Flattening the three-dimensional (3D) colon wall into two-dimensional (2D) image is believed to (1) provide supplementary information to the endoscopic views and further (2) facilitate colon registration, taniae coli (TC) detection, and haustral fold segmentation. Though the previously-used conformal mapping-based flattening methods can preserve the angular geometry, they have the limitations in providing accurate information of the 3D inner colon wall due to the lack of undulating topography. In this paper, we present a novel colon-wall flattening method using a strategy of 2.5D approach. Coupling with the conformal flattening model, the presented new approach builds an elevation distance map to depict the neighborhood characteristics of the inner colon wall. We validated the new method via two CTC applications: TC detection and haustral fold segmentation. Experimental results demonstrated the effectiveness of our strategy for CTC studies.
计算机断层结肠成像（CTC）已被开发用于结肠癌筛查。将三维（3D）结肠壁展平为二维（2D）图像被认为（1）能为内镜视图提供补充信息，并进一步（2）便于结肠配准、结肠带（TC）检测和结肠袋褶分割。尽管先前使用的基于共形映射的展平方法可以保留角度几何形状，但由于缺乏起伏地形，它们在提供3D结肠内壁的准确信息方面存在局限性。在本文中，我们提出了一种使用2.5D方法策略的新型结肠壁展平方法。结合共形展平模型，所提出的新方法构建了一个高程距离图来描绘结肠内壁的邻域特征。我们通过两个CTC应用验证了新方法：TC检测和结肠袋褶分割。实验结果证明了我们的策略在CTC研究中的有效性。
