Abstract
Recent advances in technology have paved way for 3D endoscope, which has propelled the progress of minimum invasive surgical methods. The conventional two dimensional endoscopy based Minimally Invasive Surgery (MIS) can be performed by experienced surgeons. Inability to perceive depth was the main cause of migration to 3D endoscope. In this paper, a prototype of the stereo endoscopic system is presented. Problems pertaining to the stereo endoscope such as ease of use, inhomogeneous illumination and severe lens distortion are eliminated in the proposed system. Moreover, stereo calibration and rectification have been performed for 3D visualization. Polarization technique is used for depth perception. The proposed system also allows real time HD view to the surgeons.
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References
Brown, S.M., Tabaee, A., Singh, A., Schwartz, T.H., Anand, V.K., et al.: Three-dimensional endoscopic sinus surgery: feasibility and technical aspects. Otolaryngology–Head and Neck Surgery 138(3), 400–402 (2008).
Melo, R., Barreto, J., Falcao, G.: Camera calibration and real-time image distortion correction in medical endoscopy using exchangeable optics. In: Joint Workshop on New Technologies for Computer/Robot Assisted Surgery (2013).
Du, Q.: Study on medical robot system of minimally invasive surgery. In: Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on. pp. 76–81. IEEE (2007).
Penne, J., Höller, K., Stürmer, M., Schrauder, T., Schneider, A., Engelbrecht, R., Feußner, H., Schmauss, B., Hornegger, J.: Time-of-flight 3-d endoscopy. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009, pp. 467–474. Springer (2009).
Field, M., Clarke, D., Strup, S., Seales, W.B.: Stereo endoscopy as a 3-d measurement tool. In: Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE. pp. 5748–5751. IEEE (2009).
Ohuchida, K., Eishi, N., Ieiri, S., Tomohiko, A., Tetsuo, I.: New advances in three-dimensional endoscopic surgery. J Gastroint Dig Syst 3(152), 2 (2013).
Hartley, R., Zisserman, A.: Multiple view geometry in computer vision. Cambridge university press (2003).
Overview, N.: Naneye family overview | awaiba cmos image sensors (Oct 2014), http://www.awaiba.com/product/naneye-stereo/.
Shahidi, R., Bax, M.R., Maurer Jr, C.R., Johnson, J., Wilkinson, E.P., Wang, B., West, J.B., Citardi, M.J., Manwaring, K.H., Khadem, R., et al.: Implementation, calibration and accuracy testing of an image-enhanced endoscopy system. Medical Imaging, IEEE Transactions on 21(12), 1524–1535 (2002).
Barreto, J., Roquette, J., Sturm, P., Fonseca, F.: Automatic camera calibration applied to medical endoscopy. In: BMVC 2009-20th British Machine Vision Conference. pp. 1–10. The British Machine Vision Association (BMVA) (2009).
Melo, R., Barreto, J.P., Falcao, G.: A new solution for camera calibration and real-time image distortion correction in medical endoscopy–initial technical evaluation. Biomedical Engineering, IEEE Transactions on 59(3), 634–644 (2012).
Furukawa, R., Aoyama, M., Hiura, S., Aoki, H., Kominami, Y., Sanomura, Y., Yoshida, S., Tanaka, S., Sagawa, R., Kawasaki, H.: Calibration of a 3d endoscopic system based on active stereo method for shape measurement of biological tissues and specimen. In: Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. pp. 4991–4994. IEEE (2014).
Wengert, C., Reeff, M., Cattin, P.C., Székely, G.: Fully automatic endoscope calibration for intraoperative use. In: Bildverarbeitung für die Medizin 2006, pp. 419–423. Springer (2006).
Heikkilä, J.: Geometric camera calibration using circular control points. Pattern Analysis and Machine Intelligence, IEEE Transactions on 22(10), 1066–1077 (2000).
HSU, C.H., MIAOU, S.G., CHANG, F.L.: A distortion correction method for endoscope images based on calibration patterns and a simple mathematic model for optical lens. Biomedical Engineering: Applications, Basis and Communications 17(06), 309–318 (2005).
Duane, C.B.: Close-range camera calibration. Photogram. Eng. Remote Sens 37, 855–866 (1971).
Hartley, R.I.: Theory and practice of projective rectification. International Journal of Computer Vision 35(2), 115–127 (1999).
Bouguet, J.: The calibration toolbox for matlab, example 5: Stereo rectification algorithm. code and instructions only), http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/example5.Html.
Acknowledgments
This research work was financially supported by the CSIR-Network Project, “Advanced Instrumentation Solutions for Health Care and Agro-based Applications (ASHA)”. The authors would like to acknowledge the Director, CSIR-Central Electronics Engineering Research Institute for his valuable guidance and continuous support.
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Dhiraj, Khanam, Z., Soni, P., Raheja, J.L. (2016). Development of 3D High Definition Endoscope System. In: Satapathy, S., Mandal, J., Udgata, S., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 433. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2755-7_19
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DOI: https://doi.org/10.1007/978-81-322-2755-7_19
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