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Development of a robot-assisted ultrasound-guided radiation therapy (USgRT)

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Radiation treatment is improved by the use of image-guided workflows. This work pursues the approach of using ultrasound (US) as a real-time imaging modality. The primary focus of this study is to develop and test a breathing and motion control for a robotic-guided US transducer. All control functions of the robot and the US image processing were then integrated into one software platform enabling US-guided radiation therapy.

Methods

The robot (KUKA LBR iiwa 7 R800) and the US image processing workflows were integrated into the Medical Interaction Toolkit (MITK) (Nolden et al. in Int J Comput Assist Radiol Surg 8(4):607–620, 2013). The positions of the US probe were tracked with an optical tracking system. As a main function of robot positioning control, a highly sensitive breathing and motion compensation method was developed using KUKA’s robotic application programming interface. The resulting autonomous robot motions were tested by the use of defined breathing patterns with two volunteers. Furthermore, a filter pipeline for 3D US image processing with MITK was developed. Thus, image registration of US images and previously acquired planning image data was enabled.

Results

The implemented breathing and motion compensation feature was successful with the addition of the remote rotating, translating capability of the US probe. Desired force applied to the US probe, and thus to the patient, is stable and enables a continuous US imaging. The developed filter pipeline for image processing facilitates registration and display of planning data and US image data in one graphical user interface.

Conclusion

A stable and robust method for motion compensation for robot-assisted US imaging was developed and tested successfully. This is a first step toward the safe use of autonomous robot motions in interaction with patients. Furthermore, main software components were integrated into a single platform and used with the purpose of ultrasound-guided radiation therapy.

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References

  1. Nolden M, Zelzer S, Seitel A, Wald D, Müller M, Franz AM, Maleike D, Fangerau M, Baumhauer M, Maier-Hein L, Maier-Hein KH, Meinzer H-P, Wolf I (2013) The Medical Imaging Interaction Toolkit: challenges and advances. Int J Comput Assist Radiol Surg 8(4):607–620

    Article  Google Scholar 

  2. Verellen D, De Ridder M, Storme G (2008) A (short) history of image-guided radiotherapy. Radiother Oncol 86(1):4–13

    Article  Google Scholar 

  3. Kuban DA, Dong L, Cheung R, Strom E, De Crevoisier R (2005) Ultrasound-based localization. Semin Radiat Oncol 15(3):180–191

    Article  Google Scholar 

  4. Chandra A, Dong L, Huang E, Kuban DA, O’Neill L, Rosen I, Pollack A (2003) Experience of ultrasound-based daily prostate localization. Int J Radiat Oncol 56(2):436–447

    Article  Google Scholar 

  5. Langen KM, Pouliot J, Anezinos C, Aubin M, Gottschalk AR, Hsu I-C, Lowther D, Liu Y-M, Shinohara K, Verhey LJ, Weinberg V, Roach M (2003) Evaluation of ultrasound-based prostate localization for image-guided radiotherapy. Int J Radiat Oncol Biol Phys 57(3):635–644

    Article  CAS  Google Scholar 

  6. Hsu A, Miller NR, Evans PM, Bamber JC, Webb S (2005) Feasibility of using ultrasound for real-time tracking during radiotherapy. Med Phys 32(6 Part 1):1500–1512

    Article  CAS  Google Scholar 

  7. Schlosser J, Salisbury K, Hristov D (2010) Telerobotic system concept for real-time soft-tissue imaging during radiotherapy beam delivery. Med Phys 37(12):6357–6367

    Article  Google Scholar 

  8. Salcudean SE, Bell G, Bachmann S, Zhu WH, Abolmaesumi P, Lawrence PD (1999) Robot-assisted diagnostic ultrasound – design and feasibility experiments. In: Medical image computing and computer-assisted intervention – MICCAI’99: Second International Conference, Cambridge, UK, September 19-22, 1999. Proceedings, C. Taylor and A. Colchester, Eds. Springer, Berlin, pp 1062–1071

    Chapter  Google Scholar 

  9. Tutkun Şen H, Lediju Bell MA, Iordachita I, Wong J, Kazanzides P (2013) A cooperatively controlled robot for ultrasound monitoring of radiation therapy. In: IEEE/RSJ Int Conf Intell Robot Syst, pp 3071–3076

  10. Western C, Hristov D, Schlosser J (2015) Ultrasound imaging in radiation therapy: from interfractional to intrafractional guidance. Cureus 7(6):e280

    PubMed  PubMed Central  Google Scholar 

  11. Gerlach S, Kuhlemann I, Jauer P, Bruder R, Ernst F, Fürweger C, Schlaefer A (2017) Robotic ultrasound-guided SBRT of the prostate: feasibility with respect to plan quality. Int J Comput Assist Radiol Surg 12(1):149–159

    Article  Google Scholar 

  12. Graumann C, Fuerst B, Hennersperger C, Bork F, Navab N (2016) Robotic ultrasound trajectory planning for volume of interest coverage. In: 2016 IEEE international conference on robotics and automation (ICRA), 2016, pp 736–741

  13. Teather RJ, Pavlovych A, Stuerzlinger W, MacKenzie IS (2009) Effects of tracking technology, latency, and spatial jitter on object movement. In: 3DUI—IEEE symposium on 3D user interfaces 2009, Proceedings

  14. März K, Franz AM, Seitel A, Winterstein A, Bendl R, Zelzer S, Nolden M, Meinzer H-P, Maier-Hein L (2014) MITK-US: real-time ultrasound support within MITK. Int J Comput Assist Radiol Surg 9(3):411–420

    Article  Google Scholar 

  15. Virga S, Göbl R, Baust M, Navab N, Hennersperger C (2018) Use the force: deformation correction in robotic 3D ultrasound. Int J Comput Assist Radiol Surg 13(5):619–627

    Article  Google Scholar 

  16. Franz AM, Seitel A, Servatius M, Zöllner C, Gergel I, Wegner I, Neuhaus J, Zelzer S, Nolden M, Gaa J, Mercea P, Yung K, Sommer CM, Radeleff BA, Schlemmer H-P, Kauczor H-U, Meinzer H-P, Maier-Hein L (2012) Simplified development of image-guided therapy software with MITK-IGT. In: SPIE, vol 8316

  17. Tauscher S, Tokuda J, Schreiber G, Neff T, Hata N, Ortmaier T (2015) OpenIGTLink interface for state control and visualisation of a robot for image-guided therapy systems. Int J Comput Assist Radiol Surg 10(3):285–292

    Article  Google Scholar 

  18. Klemm M, Kirchner T, Gröhl J, Cheray D, Nolden M, Seitel A, Hoppe H, Maier-Hein L, Franz AM (2017) MITK-OpenIGTLink for combining open-source toolkits in real-time computer-assisted interventions. Int J Comput Assist Radiol Surg 12(3):351–361

    Article  Google Scholar 

  19. Solberg OV, Lindseth F, Torp H, Blake RE, Hernes TAN (2007) Freehand 3D ultrasound reconstruction algorithms—a review. Ultrasound Med Biol 33(7):991–1009

    Article  Google Scholar 

  20. Conti F, Park J, Khatib O (2010) Interface design and control strategies for a robot assisted ultrasonic examination system. In: Proc Int symposium on experimental robotics

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Acknowledgments

The authors would like to thank Andrea Schwahofer for editing help.

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No funding was received.

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Correspondence to Peter Karl Seitz.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. No animal experiments were performed in this study.

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Seitz, P.K., Baumann, B., Johnen, W. et al. Development of a robot-assisted ultrasound-guided radiation therapy (USgRT). Int J CARS 15, 491–501 (2020). https://doi.org/10.1007/s11548-019-02104-y

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  • DOI: https://doi.org/10.1007/s11548-019-02104-y

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