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Out-of-Plane Needle Placements Using 3D Augmented Reality Protractor on Smartphone: An Experimental Phantom Study

  • Technical Note
  • Non-Vascular Interventions
  • Published:
CardioVascular and Interventional Radiology Aims and scope Submit manuscript

Abstract

Purpose

To evaluate the accuracy of needle placement using a three-dimensional (3D) augmented reality (AR) protractor on smartphones (AR Puncture).

Materials and Methods

An AR protractor that can be rotated in three directions against the CT plane with angle guidance lines for smartphones was developed. The protractor center can be adjusted to an entry point by manually moving the smartphone with the protractor center fixed at the center of the screen (Fix-On-Screen) or by image tracking with a printed QR code placed at an entry point (QR-Tracking). Needle placement was performed by viewing a target line in the tangent direction with the Bull’s eye method. The needle placement errors placed by four operators in six out-of-plane directions in a phantom using a smartphone (iPhone XR, Apple, Cupertino, CA, USA) were compared with two registration methods.

Results

No significant difference in the average needle placement error was observed between the Fix-On-Screen and QR-Tracking methods (5.6 ± 1.7 mm vs. 6.1 ± 2.9 mm, p = 0.475). The average procedural time of the Fix-On-Screen method was shorter than that of the QR-Tracking method (71.0 ± 23.9 s vs. 98.4 ± 59.5 s, p = 0.042).

Conclusion

The accuracies of out-of-plane needle placements using the 3D AR protractor with the two registration methods were equally high, with short procedure times. In clinical use, the Fix-On-Screen registration method would be more convenient because no additional markers are required.

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References

  1. Maybody M, Stevenson C, Solomon SB. Overview of navigation systems in image-guided interventions. Tech Vasc Interv Radiol. 2013;16(3):136–43. https://doi.org/10.1053/j.tvir.2013.02.008. (PMID: 23993075).

    Article  PubMed  Google Scholar 

  2. Durand P, Moreau-Gaudry A, Silvent AS, Frandon J, Chipon E, Medici M, Bricault I. Computer assisted electromagnetic navigation improves accuracy in computed tomography guided interventions: a prospective randomized clinical trial. PLoS ONE. 2017;12(3):e0173751.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Schubert T, Jacob AL, Pansini M, Liu D, Gutzeit A, Kos S. CT-guided interventions using a free-hand, optical tracking system: initial clinical experience. Cardiovasc Interv Radiol. 2013;36(4):1055–62. https://doi.org/10.1007/s00270-012-0527-5. (Epub 2012 Dec 12 PMID: 23232857).

    Article  Google Scholar 

  4. Elmi-Terander A, Burström G, Nachabe R, Skulason H, Pedersen K, Fagerlund M, Ståhl F, Charalampidis A, Söderman M, Holmin S, Babic D. Pedicle screw placement using augmented reality surgical navigation with intraoperative 3D imaging: a first in-human prospective cohort study. Spine. 2019;44(7):517.

    Article  PubMed  Google Scholar 

  5. Hecht R, Li M, de Ruiter QMB, Pritchard WF, Li X, Krishnasamy V, et al. Smartphone augmented reality CT-based platform for needle insertion guidance: a phantom study. Cardiovasc Intervent Radiol. 2020;43(5):756–64. https://doi.org/10.1007/s00270-019-02403-6. (Epub 2020 Jan 8 PMID: 31915907).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Li M, Seifabadi R, Long D, De Ruiter Q, Varble N, Hecht R, et al. Smartphone-versus smartglasses-based augmented reality (AR) for percutaneous needle interventions: system accuracy and feasibility study. Int J Comput Assist Radiol Surg. 2020;15(11):1921–30. https://doi.org/10.1007/s11548-020-02235-7. (Epub 2020 Jul 30 PMID: 32734314).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Xu S, Krishnasamy V, Levy E, Li M, Tse ZTH, Wood BJ. Smartphone-guided needle angle selection during CT-guided procedures. AJR Am J Roentgenol. 2018;210(1):207–13. https://doi.org/10.2214/AJR.17.18498. (Epub 2017 Sep 27 PMID: 28952812).

    Article  PubMed  Google Scholar 

  8. Hirata M, Watanabe R, Koyano Y, Sugata S, Takeda Y, Nakamura S, et al. Using a motion sensor-equipped smartphone to facilitate ct-guided puncture. Cardiovasc Intervent Radiol. 2017;40(4):609–15. https://doi.org/10.1007/s00270-017-1605-5. (Epub 2017 Feb 13 PMID: 28194507).

    Article  PubMed  Google Scholar 

  9. Morita S, Suzuki K, Yamamoto T, Kunihara M, Hashimoto H, Ito K, Fujii S, et al. Mixed reality needle guidance application on smartglasses without pre-procedural CT image import with manually matching coordinate systems. Cardiovasc Intervent Radiol. 2022;45(3):349–56. https://doi.org/10.1007/s00270-021-03029-3. (Epub 2022 Jan 13 PMID: 35022858).

    Article  PubMed  Google Scholar 

  10. Suzuki K, Morita S, Endo K, Yamamoto T, Fujii S, Ohya J, et al. Learning effectiveness of using augmented reality technology in central venous access procedure: an experiment using phantom and head-mounted display. Int J Comput Assist Radiol Surg. 2021;16(6):1069–74. https://doi.org/10.1007/s11548-021-02365-6. (Epub 2021 Apr 16 PMID: 33864188).

    Article  PubMed  Google Scholar 

  11. Suzuki K, Morita S, Endo K, Yamamoto T, Sakai S. Noncontact measurement of puncture needle angle using augmented reality technology in computed tomography-guided biopsy: stereotactic coordinate design and accuracy evaluation. Int J Comput Assist Radiol Surg. 2022;17(4):745–50. https://doi.org/10.1007/s11548-022-02572-9. (Epub 2022 Feb 21 PMID: 35190975).

    Article  PubMed  Google Scholar 

  12. Long DJ, Li M, De Ruiter QMB, Hecht R, Li X, Varble N, et al. Comparison of smartphone augmented reality, smartglasses augmented reality, and 3D CBCT-guided fluoroscopy navigation for percutaneous needle insertion: a phantom study. Cardiovasc Intervent Radiol. 2021;44(5):774–81. https://doi.org/10.1007/s00270-020-02760-7. (Epub 2021 Jan 6 PMID: 33409547).

    Article  PubMed  Google Scholar 

  13. Abe Y, Sato S, Kato K, Hyakumachi T, Yanagibashi Y, Ito M, et al. A novel 3D guidance system using augmented reality for percutaneous vertebroplasty: technical note. J Neurosurg Spine. 2013;19(4):492–501. https://doi.org/10.3171/2013.7.SPINE12917. (Epub 2013 Aug 16 PMID: 23952323).

    Article  PubMed  Google Scholar 

  14. AR Puncture. The software, AR Puncture, for iPhone/iPad used in this article is available for download for free via the App Store. https://apps.apple.com/app/ar-puncture/id1623323754 Accessed 10 October 2022.

  15. AR Puncture. The software, AR Puncture, for Android used in this article is available for download for free via the Google Play Store. https://play.google.com/store/apps/details?id=com.SatoruMorita.ARNeedleGuideforAndroid Accessed 10 October 2022.

  16. Andrews CM, Henry AB, Soriano IM, Southworth MK, Silva JR. Registration techniques for clinical applications of three-dimensional augmented reality devices. IEEE J Transl Eng Health Med. 2020;17(9):4900214. https://doi.org/10.1109/JTEHM.2020.3045642.PMID:33489483;PMCID:PMC7819530.

    Article  Google Scholar 

  17. AR/MR Needle Guide. The QR code used in this article is available for download via the website. https://sites.google.com/view/arneedleguide/. Accessed 10 October 2022.

  18. MR Puncture. The software, MR Puncture, for Hololens2, similar app to AR Puncture, is available for download for free via the Microsoft Store: https://www.microsoft.com/ja-jp/p/mr-puncture/9pj53kzg15vl. Accessed 10 October 2022.

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Acknowledgements

The authors thank Ryuhei Maruyama, Shuhei Fujii, Kayo Ito, Haruya Tanaka, Shinichi Tanaka, and Jun Ohya of Department of Modern Mechanical Engineering, Waseda University, and Ken Masamune of Institute of Advanced BioMedical Engineering and Science, Tokyo Women's Medical University for technical advice and assistance.

Funding

This work was supported by JSPS KAKENHI Grant No. JP 18K07648, which is a Japanese national funding.

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Correspondence to Satoru Morita.

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Conflict of interest

Otherwise, we have no financial relationships to disclose. The authors declare that they have no conflict of interest.

Ethical Approval

This study was exempted from approval by the Institutional Review Board of our institution as no actual patient or healthy volunteer data were obtained or analyzed.

Informed Consent

Does not apply as no actual patient or healthy volunteer data are obtained or analyzed.

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Supplementary Information

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Video1 Demonstration of out-of-plane needle placement in a phantom using the AR protractor with the Fix-On-Screen method at the original speed and without editing (MP4 24080 KB)

Video2 Demonstration of out-of-plane needle placement in a phantom using the AR protractor with the QR-Tracking method at original speed and without editing (MP4 26664 KB)

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Morita, S., Suzuki, K., Yamamoto, T. et al. Out-of-Plane Needle Placements Using 3D Augmented Reality Protractor on Smartphone: An Experimental Phantom Study. Cardiovasc Intervent Radiol 46, 675–679 (2023). https://doi.org/10.1007/s00270-023-03357-6

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  • DOI: https://doi.org/10.1007/s00270-023-03357-6

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