Abstract
Tattooing and Argon plasma coagulation (APC) are used for gastroscopic biopsy traditionally. To overcome the invasive issues of tattooing and APC, we proposed an image-guided gastroscopic biopsy system (IGGBS) to guide endoscopist in retargeting previous biopsy sites in the follow-ups non-invasively. In this paper, a model merging method is proposed to improve the IGGBS’s accuracy. The method reconstructs local realistic model based on gastroscopic image sequences during procedure, then the local model is merged with the pre-operative model in real-time. As a consequence, the merging model is used in IGGBS to navigate endoscopist to retarget biopsy sites, which provides the endoscopist with a confident 3D region around the endoscope camera site and a measure of the reconstruction precision. As the experimental result shows, the root mean square target registration error of IGGBS using merging model is 9.5 mm, which is close to the conventional biopsy tattooing method (about 1cm).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kim, J.H., Eun, H.W., Goo, D.E., Shim, C.S., Auh, Y.H.: Imaging of Various Gastric Lesions with 2D MPR and CT Gastrography Performed with Multidetector CT. Radiographics. 26, 1101–1118 (2006)
Canto, M.I.: Staining in Gastrointestinal Endoscopy: the Basics. Endoscopy. 31, 479–486 (1999)
Sun, D., Liu, J., Linte, C.A., Duan, H., Robb, R.A.: Surface Reconstruction from Tracked Endoscopic Video Using the Structure from Motion Approach. In: Liao, H., Linte, C.A., Masamune, K., Peters, T.M., Zheng, G. (eds.) MIAR 2013 and AE-CAI 2013. LNCS, vol. 8090, pp. 127–135. Springer, Heidelberg (2013)
Yamashita, J., Yamauchi, Y., Mochimaru, M., Fukui, Y., Yokoyama, K.: Real-time 3-D model-based Navigation System for Endoscopic Paranasal Sinus Surgery. IEEE Transactions on Bomedical Egineering 46, 1101–1118 (1999)
Sun, D., Wu, W., Lu, Y., Liu, J., Duan, H.: A computer simulated biopsy marking system for gastroscopy. In: 4th International Conference on Bioinfomatics and Biomedical Engineering, pp. 1–4 (2010)
Sun, D., Hu, W., Wu, W., Liu, J., Duan, H., Si, J.: Design of the Image-guided Biopsy marking System for Gastroscopy. J. Med. Syst. 36, 2909–2920 (2012)
Yaniv, Z., Cleary, K.: Image-guided procedures: a Review. Technical Report, Imaging Science and Information Systems Center, Washington, DC (2006)
Cleary, K., Peters, T.M.: Image-guided Interventions: Technology Review and Clinical Applications. Annu. Rev. Biomed. Eng. 12, 119–142 (2010)
Lorensen, W.E., Cline, H.E.: Marching cubes: a High Resolution 3D Surface Construction Algorithm. ACM Siggraph Computer Graphics 21, 163–169 (1987)
Sun, D.: Study of Video-based Intervention Guidance Technologies for Soft Cavity Organs, Ph.D. Dissertation, Zhejiang University (2012)
Nicolau, S.A., Garcia, A., Pennec, X., Soler, L., Ayache, N.: an Augmented Reality System to Guide Radio-frequency Tumour Ablation. Comp. Anim. Virtual Worlds. 16, 1–10 (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
He, J., Zhao, Y., Liu, J., Wang, B., Duan, H. (2015). A Merging Model Reconstruction Method for Image-Guided Gastroscopic Biopsy. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_34
Download citation
DOI: https://doi.org/10.1007/978-3-662-47791-5_34
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-47790-8
Online ISBN: 978-3-662-47791-5
eBook Packages: Computer ScienceComputer Science (R0)