论文标题
从结肠镜检查视频中估算结肠3D重建的覆盖范围
Estimating the coverage in 3d reconstructions of the colon from colonoscopy videos
论文作者
论文摘要
结肠镜检查是早期检测和去除息肉的最常见程序，息肉是预防结肠直肠癌的关键组成部分。在手术过程中，结肠表面的视觉覆盖不足通常会导致息肉错过。为了减轻此问题，已经提出了重建结肠的3D表面以可视化缺失区域。但是，迄今为止，还没有对这种重建的本地和全球覆盖范围进行强有力的估计。在这项工作中，我们提出了一种新方法，以估算重建的结肠点云的覆盖范围。我们的方法通过估计缺失表面的面积将重建的结肠分为细分市场，并估算每个细分市场的覆盖范围。我们在合成结肠镜数据和实际结肠造影CT扫描中产生的结肠段中达到平均绝对覆盖误差为3-6 \％。此外，我们对从真正的结肠镜检查视频重建的结肠段显示出良好的定性结果。
Colonoscopy is the most common procedure for early detection and removal of polyps, a critical component of colorectal cancer prevention. Insufficient visual coverage of the colon surface during the procedure often results in missed polyps. To mitigate this issue, reconstructing the 3D surfaces of the colon in order to visualize the missing regions has been proposed. However, robustly estimating the local and global coverage from such a reconstruction has not been thoroughly investigated until now. In this work, we present a new method to estimate the coverage from a reconstructed colon pointcloud. Our method splits a reconstructed colon into segments and estimates the coverage of each segment by estimating the area of the missing surfaces. We achieve a mean absolute coverage error of 3-6\% on colon segments generated from synthetic colonoscopy data and real colonography CT scans. In addition, we show good qualitative results on colon segments reconstructed from real colonoscopy videos.
