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2021 | OriginalPaper | Chapter

Investigation of the Hashing Algorithm Extension of Depth Image Matching for Liver Surgery

Authors : Satoshi Numata, Masanao Koeda, Katsuhiko Onishi, Kaoru Watanabe, Hiroshi Noborio

Published in: Human-Computer Interaction. Interaction Techniques and Novel Applications

Publisher: Springer International Publishing

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Abstract

We have developed some liver posture estimation methods for achieving a liver surgical navigation system that can support surgeons who needs to know very precise information about vessels in the liver. Those methods use 3D liver models scanned from patients and 2D images scanned by depth cameras for estimating the liver posture as accurately as possible. Since a new posture estimation method using simple and high-speed image hashing algorithm was developed last year, we are trying to improve the method in accuracy and applicability for the real-time liver posture tracking. In this paper, we examine how deep learning methods can be used for liver posture estimation and its tracking over the 2D images scanned from depth cameras. We study how can a multi-layer perceptron neural network learn and estimate the liver rotation expressed in quaternion form. The real-time surgical navigation system should be efficiently implemented by combining multiple estimation methods including the deep learning method.

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Literature
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go back to reference Doi, M., Koeda, M., Tsukushi, A., et al.: Kinfe tip position estimation for liver surgery support. In: Proceedings of the Robotics and Mechatronics Conference 2015 (ROBOMECH2015), 1A1-E01, (2015) Doi, M., Koeda, M., Tsukushi, A., et al.: Kinfe tip position estimation for liver surgery support. In: Proceedings of the Robotics and Mechatronics Conference 2015 (ROBOMECH2015), 1A1-E01, (2015)
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go back to reference Doi, M., Yano, D., Koeda, M., et al.: knife tip position estimation for liver surgery support system. In: Proceedings of Japanese Society for Medical Virtual Reality (JSMVR 2016), pp. 36–37 (2016) Doi, M., Yano, D., Koeda, M., et al.: knife tip position estimation for liver surgery support system. In: Proceedings of Japanese Society for Medical Virtual Reality (JSMVR 2016), pp. 36–37 (2016)
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go back to reference Watanabe, K., Yoshida, S., Yano, D., Koeda, M., Noborio, H.: A new organ-following algorithm based on depth-depth matching and simulated annealing, and its experimental evaluation. In: Marcus, A., Wang, W. (eds.) Design, User Experience, and Usability: Designing Pleasurable Experiences. LNCS, vol. 10289, pp. 594–607. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58637-3_47CrossRef Watanabe, K., Yoshida, S., Yano, D., Koeda, M., Noborio, H.: A new organ-following algorithm based on depth-depth matching and simulated annealing, and its experimental evaluation. In: Marcus, A., Wang, W. (eds.) Design, User Experience, and Usability: Designing Pleasurable Experiences. LNCS, vol. 10289, pp. 594–607. Springer, Cham (2017). https://​doi.​org/​10.​1007/​978-3-319-58637-3_​47CrossRef
6.
go back to reference Numata, S., Yano, D., Koeda, M., et al.: A novel liver surgical navigation system using polyhedrons with STL-format. In: Proceedings of 20th International Conference on Human-Computer Interaction (HCII2018), pp. 53–63 (2018) Numata, S., Yano, D., Koeda, M., et al.: A novel liver surgical navigation system using polyhedrons with STL-format. In: Proceedings of 20th International Conference on Human-Computer Interaction (HCII2018), pp. 53–63 (2018)
7.
Metadata
Title
Investigation of the Hashing Algorithm Extension of Depth Image Matching for Liver Surgery
Authors
Satoshi Numata
Masanao Koeda
Katsuhiko Onishi
Kaoru Watanabe
Hiroshi Noborio
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-78465-2_44