• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Three-dimensional reconstruction of anatomical structures from endoscopic images.
【24h】

Three-dimensional reconstruction of anatomical structures from endoscopic images.

机译：从内窥镜图像三维重建解剖结构。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Endoscopy is attracting increasing attention for its role in minimally invasive, computer-assisted and tele-surgery. Analyzing images from endoscopes to obtain meaningful information about anatomical structures such as their 3D shapes, deformations and appearances, is crucial to such surgical applications. However, 3D reconstruction of bones from endoscopic images is challenging due to the small field of view of the endoscope, large image distortion, featureless surfaces and occlusion by blood and particles. In this thesis, a novel methodology is developed for accurate 3D bone reconstruction from endoscopic images, by exploiting and enhancing computer vision techniques such as shape from shading, tracking and statistical modeling.;We first designed a complete calibration scheme to estimate both geometric and photometric parameters including the rotation angle, light intensity and light sources' spatial distribution. This is crucial to our further analysis of endoscopic images. A solution is presented to reconstruct the Lambertian surface of bones using a sequence of overlapped endoscopic images, where only partial boundaries are visible in each image. We extend the classical shapefrom-shading approach to deal with perspective projection and near point light sources that are not co-located with the camera center. Then, by tracking the endoscope, the complete occluding boundary of the bone is obtained by aligning the partial boundaries from different images. A complete and consistent shape is obtained by simultaneously growing the surface normals and depths in all views. Finally, in order to deal with over-smoothness and occlusions, we employ a statistical atlas to constrain and refine the multi-view shape from shading. A two-level framework is also developed for efficient atlas construction.
机译：内窥镜在微创，计算机辅助和远程手术中的作用正受到越来越多的关注。分析内窥镜的图像以获得有关解剖结构的有意义的信息，例如其3D形状，变形和外观，对于此类外科手术应用至关重要。然而，由于内窥镜的视野小，图像畸变大，表面无特征以及血液和颗粒的阻塞，从内窥镜图像对骨骼进行3D重建具有挑战性。本文通过开发和增强计算机视觉技术（如阴影，跟踪和统计建模等形状），开发了一种从内窥镜图像中准确进行3D骨重建的新方法。我们首先设计了一套完整的校准方案来估算几何和光度参数包括旋转角度，光强度和光源的空间分布。这对于我们进一步分析内窥镜图像至关重要。提出了一种使用一系列重叠的内窥镜图像重建骨骼的朗伯表面的解决方案，其中在每个图像中仅可见部分边界。我们扩展了经典的“从阴影开始”方法，以处理透视投影和与相机中心不在同一位置的近点光源。然后，通过跟踪内窥镜，通过对准来自不同图像的部分边界来获得骨骼的完全遮挡边界。通过在所有视图中同时增大表面法线和深度可获得完整且一致的形状。最后，为了处理过度平滑和遮挡的情况，我们使用了统计图集来从阴影中约束和细化多视图形状。还开发了一个两级框架来进行有效的图集构建。

著录项

  • 作者

    Wu, Chenyu.;

  • 作者单位

    Carnegie Mellon University.;

  • 授予单位 Carnegie Mellon University.;
  • 学科 Health Sciences Radiology.;Engineering Robotics.;Health Sciences Surgery.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 113 p.
  • 总页数 113
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号