Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 464-473 |
| Number of pages | 10 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5369 |
| DOIs | |
| Publication status | Published - 2004 Jul 5 |
| Event | Medical Imaging 2004: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States Duration: 2004 Feb 15 → 2004 Feb 17 |
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All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
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Automatic extraction and visualization of human inner structures from endoscopic image sequences. / Wu, Chia Hsiang; Chen, Yi Chiao; Liu, Chun Yen; Chang, Chien Chen; Sun, Yung-Nien.
In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 5369, 05.07.2004, p. 464-473.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - Automatic extraction and visualization of human inner structures from endoscopic image sequences
AU - Wu, Chia Hsiang
AU - Chen, Yi Chiao
AU - Liu, Chun Yen
AU - Chang, Chien Chen
AU - Sun, Yung-Nien
PY - 2004/7/5
Y1 - 2004/7/5
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=3042635172&partnerID=8YFLogxK
U2 - 10.1117/12.535880
DO - 10.1117/12.535880
M3 - Conference article
AN - SCOPUS:3042635172
VL - 5369
SP - 464
EP - 473
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
SN - 0277-786X
ER -