Abstract
The absence of tactile force information at the tip of a medical instrument makes precise minimally invasive surgery difficult and is prone to resulting in serious outcomes. In this paper, a fiber optic force sensor is fabricated based on Fabry-Pérot interferometry and integrated with a puncture needle. The force sensor is attached to the needle tip, where interactive force arises as it inserts into soft tissue. Needle insertion experiments have been conducted on ex vivo swine liver and belly with the calibrated force sensor. Using wavelet transform method, the acquired force data are analyzed and used to identify layered tissue types and boundaries. We found that the force amplitudes are not always identical, but the patterns of forces are almost the same, which enables us to identify layered tissues and to realize a safe needle insertion procedure under robot control.
Similar content being viewed by others
References
Huo B, Zhao X, Han J, et al. Motion planning for flexible needle in multilayer tissue environment with obstacles. In: Proceesings of the IEEE International Conference on Systems, Man, and Cybernetics, Seoul, 2012. 3292–3297
Aghakhani N, Geravand M, Shahriari N, et al. Task control with remote center of motion constraint for minimally invasive robotic surgery. In: Proceedings of the IEEE International Conference on Robotics and Automation, Karlsruhe, 2013. 5807–5812
Nillahoot N, Suthakorn J. Development of Veress needle insertion robotic system and its experimental study for force acquisition in soft tissue. In: Proceeding of the IEEE International Conference on Robotics and Biomimetics (ROBIO), Shenzhen, 2013. 645–650
Elgezua I, Song S, Kobayashi Y, et al. Event classification in percutaneous treatments based on needle insertion force pattern analysis. In: Proceedings of the 13th International Conference on Control, Automation and Systems, Gwangju, 2013. 288–293
DiMaio S, Salcudean S. Interactive simulation of needle insertion models. IEEE Trans Biomed Eng, 2005, 52: 1167–1179
Roesthuis R, van Veen Y, Jahya A, et al. Mechanics of needle-tissue interaction. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, 2011. 2557–2563
Kesner S, Howe R. Force control of flexible catheter robots for beating heart surgery. In: Proceedings of the IEEE International Conference on Robotics and Automation, Shanghai, 2011. 1589–1594
Polygerinos P, Puangmali P, Schaeffter T, et al. Novel miniature MRI-compatible fiber-optic force sensor for cardiac catheterization procedures. In: Proceedings of the IEEE International Conference on Robotics and Automation, Alaska, 2010. 2598–2603
Brett P, Harrison A, Thomas T. Schemes for the identification of tissue types and boundaries at the tool point for surgical needles. IEEE Trans Inf Technol Biomed, 2000, 4: 30–36
Born M, Wolf E. Principles of Optics. Pergamon Press, 1964. Chapter
Zhu H. Development of a fiber optic force sensor and its application to identification of tissue types and boundaries. Dissertation for Master’s Degree. Beijing: Beijing Jiaotong Unversity, 2014
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Yang, T., Zhu, H., Han, J. et al. Identification of tissue types and boundaries with a fiber optic force sensor. Sci. China Inf. Sci. 57, 1–7 (2014). https://doi.org/10.1007/s11432-014-5218-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11432-014-5218-1