Intelligent Robots

Development of Surgical Robot for CT-Guided Lung Biopsy

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  • 1. Institute of Forming Technology and Equipment, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 20030, China; 2. Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200030, China; 3. Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; 4. Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; 5. Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai 200025, China

Received date: 2024-12-16

  Revised date: 2025-01-27

  Accepted date: 2025-02-10

  Online published: 2025-09-04

Abstract

Traditional lung biopsy procedures are complicated and time-consuming due to the lack of realtime imaging guidance, requiring physicians to frequently move between the operating room and computerized tomography (CT) imaging equipment. Robotics has been widely applied in medical surgeries, yet meeting the requirements for lung biopsy procedures with assured accuracy and safety remains a topic of research. This paper introduces a surgical robot for CT-guided lung biopsy. A kinematic analysis of the robot mechanism is conducted, and a master-slave control system tailored for this robot is developed. A force feedback algorithm is proposed to ensure the reliability and realism of the surgical process. Finally, the system’s feasibility is verified by the mechanism positioning accuracy experiment and the targeting accuracy experiment, and in vivo animal experiment is conducted to lay the foundation for clinical application.

Cite this article

Zhang Han, Zhang Guoliang, Feng Shengjie, Li Qingyun, Qu Jieming, Xie Le . Development of Surgical Robot for CT-Guided Lung Biopsy[J]. Journal of Shanghai Jiaotong University(Science), 2026 , 31(1) : 1 -11 . DOI: 10.1007/s12204-025-2846-0

References

[1] Cancer survival rates by country [EB/OL]. [2024-12-01]. https://wisevoter.com/country-rankings/cancer-survival-rates-by-country/
[2] CHUNG C, KIM Y, PARK D. Transthoracic needle biopsy: How to maximize diagnostic accuracy and minimize complications [J]. Tuberculosis and Respiratory Diseases, 2020, 83(Sup.1): S17-S24.
[3] ZHANG S L, GUO F L, WANG H J, et al. Comparative analysis of electromagnetic navigation bronchoscopy versus computed tomography-guided lung puncture for the sampling of indeterminate pulmonary nodules in the middle of an anatomic lung segment: A cohort study [J]. Thoracic Cancer, 2023, 14(2): 149-155.
[4] FAROOQ M U, KO S Y. A decade of MRI compatible robots: Systematic review [J]. IEEE Transactions on Robotics, 2023, 39(2): 862-884.
[5] DUAN X G, WEN H, HE R, et al. Advances and key techniques of percutaneous puncture robots for thorax and abdomen [J]. Robot, 2021, 43(5): 567-584 (in Chinese).
[6] HIRAKI T, KAMEGAWA T, MATSUNO T, et al. Zerobot®: A remote-controlled robot for needle insertion in CT-guided interventional radiology developed at Okayama University [J]. Acta Medica Okayama, 2018, 72(6): 539-546.
[7] MARTINEZ R M, PTACEK W, SCHWEITZER W, et al. CT-guided, minimally invasive, postmortem needle biopsy using the B-rob II needle-positioning robot [J]. Journal of Forensic Sciences, 2014, 59(2): 517-521.
[8] MAURIN B, BAYLE B, PICCIN O, et al. A patient-mounted robotic platform for CT-scan guided procedures [J]. IEEE Transactions on Biomedical Engineering, 2008, 55(10): 2417-2425.
[9] HUNGR N, BRICAULT I, CINQUIN P, et al. Design and validation of a CT- and MRI-guided robot for percutaneous needle procedures [J]. IEEE Transactions on Robotics, 2016, 32(4): 973-987.
[10] LIAO H F, LIN W A, YUAN J B, et al. Artifact disentanglement network for unsupervised metal artifact reduction [M]//Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Cham: Springer, 2019: 203-211.
[11] CHEN Y, SQUIRES A, SEIFABADI R, et al. Robotic system for MRI-guided focal laser ablation in the prostate [J]. IEEE/ASME Transactions on Mechatronics, 2017, 22(1): 107-114.
[12] OTONI A V S, DE SOUZA TAVARES J J P Z, NETO R M F. 3D printer as a resource for didactic development tool for the maker culture: An open-source design of the COREXY 3D printer [M]//Perspectives and trends in education and technology. Singapore: Springer, 2023: 175-185.
[13] CRAIG J J. Introduction to robotics mechanics and control compress [M]. 3rd ed. Upper Saddle River: Pearson Education, 2005.
[14] FENG R R, TANG L, EMU Y X, et al. A path planning system for ct-guided lung biopsy [J]. Robot, 2022, 44(6): 694-707 (in Chinese).
[15] YANG T W, YIN H, ZHAO X G, et al. Interaction modeling and simulation of a flexible needle insertion into soft tissues [C]// 41st International Symposium on Robotics. Munich: VDE, 2014: 1-6.
[16] MAURIN B, BARBE L, BAYLE B, et al. In vivo study of forces during needle insertions [M]//Perspective in image-guided surgery. Singapore: World Scientific, 2004: 415-422.
[17] MUSA M J, SHARMA K, CLEARY K, et al. Respiratory compensated robot for liver cancer treatment: Design, fabrication, and benchtop characterization [J]. IEEE/ASME Transactions on Mechatronics, 2022, 27(1): 268-279.
[18] PATEL N A, YAN J W, LEVI D, et al. Body-mounted robot for image-guided percutaneous interventions: Mechanical design and preliminary accuracy evaluation [C]// 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems. Madrid: IEEE, 2018: 1443-1448.

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