3-D shape recovery of luminal wall from WCE image

Yanan Fu, David W. Zhang, Haiying Liu, M. Meng
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引用次数: 2

Abstract

The Wireless capsule endoscopy (WCE) is a state-of-the-art imaging technique used to view the entire gastrointestinal (GI) tract. With this technique, the clinicians can detect diseases such as obscure gastrointestinal bleeding, polyp, Crohn's and celiac disease. However, like other endoscopes, the WCE provides only 2-D images. The real anatomical structure of the observed lesion is unavailable and can only be judged by the clinician's imagination. In this paper, we use shape from shading (SFS) technique to generate 3-D structures from 2-D endoscopic images. For the three assumptions of the SFS technique, we propose a preprocessing method for endoscopic image. Experiments with real WCE data demonstrate good 3-D shape recovery performance. Smooth and visually scene can be created based on the pre-processed endoscopic image, while preserving the structure of the observed objects without any hardware upgrades. The 3-D shape enhances the video and therefore improves the viewing of the gastrointestinal (GI) tract leading to a more accurate diagnosis.
基于WCE图像的腔壁三维形状恢复
无线胶囊内窥镜(WCE)是一种最先进的成像技术,用于观察整个胃肠道。有了这项技术,临床医生可以检测出一些疾病,比如不明显的胃肠道出血、息肉、克罗恩病和乳糜泻。然而,像其他内窥镜一样,WCE只能提供二维图像。观察到的病变的真实解剖结构是不可获得的,只能通过临床医生的想象来判断。在本文中,我们使用形状从阴影(SFS)技术生成三维结构从二维内窥镜图像。针对SFS技术的三个假设,提出了一种内窥镜图像预处理方法。实验表明,WCE数据具有良好的三维形状恢复性能。在不进行任何硬件升级的情况下,可以根据预处理后的内窥镜图像创建平滑、直观的场景,同时保留观察对象的结构。3d形状增强了视频,因此改善了胃肠道的观察,从而导致更准确的诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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