Abstract
In this study, we developed a deadlock-free and collision-free liver surgical navigation method by switching potential-based and sensor-based approaches. The potential-based approach selects a near-optimal route from a scalpel tip to an arbitrary neighbor position around a tumor in a 3D organ map converted from digital imaging and communications in medicine (DICOM) data captured by magnetic resonance imaging or computed tomography. However, among complex-shaped blood vessels, the approach sometimes loses the route. To overcome this drawback, we switch to the sensor-based approach. This approach always finds a route near a tumor. However, the path becomes longer. Therefore, when the potential-based approach recovers to find another path, we switch the sensor-based approach back to the potential-based approach. The usefulness of this switching method was carefully ascertained in several kinds of allocations of tumor and blood vessels.
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Acknowledgment
This study was supported partly by 2014 Grants-in-Aid for Scientific Research (B) (No. 26289069) and 2017 Grants-in-Aid for Scientific Research (C) (No. 17K00420) from the Ministry of Education, Culture, Sports, Science, and Technology, Japan. Further support was provided by the 2014 Cooperation Research Fund from the Graduate School at Osaka Electro-Communication University. We would like to thank Editage (www.editage.com) for English language editing.
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Noborio, H., Kawai, K., Watanabe, K., Tachibana, K., Kunii, T., Mizushino, K. (2020). Deadlock-Free and Collision-Free Liver Surgical Navigation by Switching Potential-Based and Sensor-Based Functions. In: Kurosu, M. (eds) Human-Computer Interaction. Human Values and Quality of Life. HCII 2020. Lecture Notes in Computer Science(), vol 12183. Springer, Cham. https://doi.org/10.1007/978-3-030-49065-2_42
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