TY - JOUR
T1 - Three-dimensional modeling from endoscopic video using geometric constraints via feature positioning
AU - Wu, Chia Hsiang
AU - Sun, Yung Nien
AU - Chang, Chien Chen
N1 - Funding Information:
Manuscript received February 1, 2006; revised October 29, 2007. This work was supported by the National Science Council of Taiwan, R.O.C., under Grant NSC-93-2213-E-006-041. Asterisk indicates corresponding author. C.-H. Wu is with the Visual System Laboratory, Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, 701 Taiwan, R.O.C. *Y.-N. Sun is with the Visual System Laboratory, Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, 701 Taiwan, R.O.C. ([email protected]). C.-C. Chang is with the Department of Urology, National Cheng Kung University Hospital, Tainan, 701 Taiwan, R.O.C. Digital Object Identifier 10.1109/TBME.2006.889767
PY - 2007/7
Y1 - 2007/7
N2 - The endoscope is a popular imaging modality used in many preevaluations and surgical treatments, and is also one of the essential tools in minimally invasive surgery. However, regular endoscopes provide only 2-D images. Even though stereoendoscopy systems can display 3-D images, the real anatomical structure of the observed lesion is unavailable and can only be judged by the surgeon's imagination. In this paper, we present a constraint-based factorization method for reconstructing 3-D structures registered to the patient, from 2-D endoscopic images. The proposed method incorporates the geometric constraints from the tracked surgical instrument into the traditional factorization method based on frame-to-frame feature motion on the endoscopically viewed scene. Experiments with real and synthetic data demonstrate good real-scale 3-D extraction, with greater accuracy than is available from traditional methods. The reconstruction process can also be accomplished in a few seconds, making it suitable for on-line surgical applications to provide surgeons with additional 3-D shape information, critical distance monitoring and warnings.
AB - The endoscope is a popular imaging modality used in many preevaluations and surgical treatments, and is also one of the essential tools in minimally invasive surgery. However, regular endoscopes provide only 2-D images. Even though stereoendoscopy systems can display 3-D images, the real anatomical structure of the observed lesion is unavailable and can only be judged by the surgeon's imagination. In this paper, we present a constraint-based factorization method for reconstructing 3-D structures registered to the patient, from 2-D endoscopic images. The proposed method incorporates the geometric constraints from the tracked surgical instrument into the traditional factorization method based on frame-to-frame feature motion on the endoscopically viewed scene. Experiments with real and synthetic data demonstrate good real-scale 3-D extraction, with greater accuracy than is available from traditional methods. The reconstruction process can also be accomplished in a few seconds, making it suitable for on-line surgical applications to provide surgeons with additional 3-D shape information, critical distance monitoring and warnings.
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U2 - 10.1109/TBME.2006.889767
DO - 10.1109/TBME.2006.889767
M3 - Article
C2 - 17605351
AN - SCOPUS:34250760764
SN - 0018-9294
VL - 54
SP - 1199
EP - 1211
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 7
ER -