Automatic extraction and visualization of human inner structures from endoscopic image sequences

Chia Hsiang Wu, Yi Chiao Chen, Chun Yen Liu, Chien Chen Chang, Yung-Nien Sun

研究成果: Conference article

15 引文 斯高帕斯(Scopus)

摘要

Most of the three-dimensional (3-D) reconstructions of human organs rely on medical volume data. In this paper, we propose to use the endoscopic image sequences as a new image modality for surface reconstruction of human organs or tissues. Using the pinhole camera model, the original 3-D points are projected to two-dimensional (2-D) images by multiplying transformation matrices. We assume the intrinsic camera parameters, such as the focal length and principal points, are known and simplify the transformation matrices to only include the camera motion, i.e. camera rotation and translation. Using the factorization method for recovering the shape of the object and the motion of the camera from an image sequence, the 3-D structures are computed. 3-D reconstruction from endoscopie image sequences is a new exploration. It provides additional information that facilitates the understanding for the lesion areas three-dimensionally. And the reconstructed structures directly correspond to the original images and can be rendered with precise texture-mapping easily. It has potential to be used to guide surgery and serve as an alternative data source for constructing new stereo endoscopy systems using one camera.

原文English
頁(從 - 到)464-473
頁數10
期刊Proceedings of SPIE - The International Society for Optical Engineering
5369
DOIs
出版狀態Published - 2004 七月 5
事件Medical Imaging 2004: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States
持續時間: 2004 二月 152004 二月 17

    指紋

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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