Abstract
Minimally Invasive Surgery (MIS) has offered great benefits to the patients for reducing patient trauma and recovery time. However, traditional MIS still has some challenges due to the loss of 3D vision and the narrow field of view provided by the endoscope. In this paper, we propose a method to reconstruct real 3D model of gastric internal surface based on gastroscopic image sequences, which can supply a significant navigation for surgeons during MIS procedure. This method utilizes a novel six-degree of freedom (6-DOF) tracking sensor to record endoscope’s real-time position information, and Structure from Motion (SFM) theory is adopted to generate 3D gastric internal surface model. The system is experimented on simulated gastric model. The 3D depth accuracy is estimated at 9.8 mm, which is suitable for clinic practice. Theoretically, this system can be applied to MIS not only on stomach but also on other organs.
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Yang, D., Zhao, Y., Liu, J., Wang, B., Duan, H. (2015). A 3D Reconstruction Method for Gastroscopic Minimally Invasive Surgery. 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_28
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DOI: https://doi.org/10.1007/978-3-662-47791-5_28
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