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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

09.03.2023 | Original Article

Image-guided navigation system for minimally invasive total hip arthroplasty (MITHA) using an improved position-sensing marker

verfasst von: Xianzhong Xie, Mingzhu Zhu, Bingwei He, Jie Xu

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 12/2023

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Abstract

Purpose

Minimally invasive total hip arthroplasty (MITHA) is a treatment for hip arthritis, and it causes less tissue trauma, blood loss, and recovery time. However, the limited incision makes it difficult for surgeons to perceive the instruments’ location and orientation. Computer-assisted navigation systems can help improve the medical outcome of MITHA. Directly applying existing navigation systems for MITHA, however, suffers from problems of bulky fiducial marker, severe feature-loss, multiple instruments tracking confusion, and radiation exposure. To tackle these problems, we propose an image-guided navigation system for MITHA using a novel position-sensing marker.

Methods

A position-sensing marker is proposed to serve as the fiducial marker with high-density and multi-fold ID tags. It results in less feature span and enables the use of ID for each feature, overcoming the problem of bulky fiducial markers and multiple instruments tracking confusion. And the marker can be recognized even when a large part of locating features is obscured. As for the elimination of intraoperative radiation exposure, we propose a point-based method to achieve patient-image registration based on anatomical landmarks.

Results

Quantitative experiments are conducted to evaluate the feasibility of our system. The accuracy of instrument positioning is achieved at 0.33 ± 0.18 mm, and that of patient-image registration is achieved at 0.79 ± 0.15 mm. And qualitative experiments are also performed, verifying that our system can be used in compact surgical spatial volume and can address severe feature-loss and tracking confusion problems. In addition, our system does not require any intraoperative medical scans.

Conclusion

Experimental results indicate that our proposed system can assist surgeons without larger space occupations, radiation exposure, and extra incision, showing its potential application value in MITHA.

Vorheriger Artikel COMPASS: a formal framework and aggregate dataset for generalized surgical procedure modeling

Nächster Artikel Open-source navigation system for tracking dissociated parts with multi-registration

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Chimento GF, Pavone V, Sharrock N, Kahn B, Cahill J, Sculco TP (2005) Minimally invasive total hip arthroplasty: a prospective randomized study. J Arthroplasty 20(2):139–144. https://doi.org/10.1016/j.arth.2004.09.061CrossRefPubMed

Paprosky WG, Muir JM (2016) Intellijoint hip®: a 3d mini-optical navigation tool for improving intraoperative accuracy during total hip arthroplasty. Med Devices (Auckland, NZ) 9:401–408. https://doi.org/10.2147/MDER.S119161CrossRef

Ma Q, Kobayashi E, Suenaga H, Hara K, Wang J, Nakagawa K, Sakuma I, Masamune K (2020) Autonomous surgical robot with camera-based markerless navigation for oral and maxillofacial surgery. IEEE/ASME Trans Mechatron 25(2):1084–1094. https://doi.org/10.1109/TMECH.2020.2971618CrossRef

Ungi T, Gauvin G, Lasso A, Yeo CT, Pezeshki P, Vaughan T, Carter K, Rudan J, Engel CJ, Fichtinger G (2015) Navigated breast tumor excision using electromagnetically tracked ultrasound and surgical instruments. IEEE Trans Biomed Eng 63(3):600–606. https://doi.org/10.1109/TBME.2015.2466591CrossRefPubMed

Kim TT, Drazin D, Shweikeh F, Pashman R, Johnson JP (2014) Clinical and radiographic outcomes of minimally invasive percutaneous pedicle screw placement with intraoperative ct (o-arm) image guidance navigation. Neurosurg Focus 36(3):E1. https://doi.org/10.3171/2014.1.FOCUS13531CrossRefPubMed

Li B, Zhang L, Sun H, Shen SG, Wang X (2014) A new method of surgical navigation for orthognathic surgery: optical tracking guided free-hand repositioning of the maxillomandibular complex. J Craniofacial Surg 25(2):406–411. https://doi.org/10.1097/SCS.0000000000000673CrossRef

Schuetze K, Kraus M, Eickhoff A, Gebhard F, Richter PH (2018) Radiation exposure for intraoperative 3d scans in a hybrid operating room: how to reduce radiation exposure for the surgical team. Int J Comput Assist Radiol Surg 13(8):1291–1300. https://doi.org/10.1007/s11548-018-1747-1CrossRefPubMed

Watanabe Y, Kato T, Ishikawa M (2017) Extended dot cluster marker for high-speed 3d tracking in dynamic projection mapping. In: IEEE International Symposium on Mixed and Augmented Reality, pp 52–61, https://doi.org/10.1109/ISMAR.2017.22

Pratt P, Marco AD, Payne C, Darzi A, Yang GZ (2012) Intraoperative ultrasound guidance for transanal endoscopic microsurgery. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp 463–470, https://doi.org/10.1007/978-3-642-33415-3_57

10.

Stefanelli LV, Mandelaris GA, DeGroot BS, Gambarini G, De Angelis F, Di Carlo S (2020) Accuracy of a novel trace-registration method for dynamic navigation surgery. Int J Periodont Restorat Den 40(3):427–435CrossRef

11.

Zhang L, Ye M, Chan PL, Yang GZ (2017) Real-time surgical tool tracking and pose estimation using a hybrid cylindrical marker. Int J Comput Assist Radiol Surg 12(6):921–930. https://doi.org/10.1007/s11548-017-1558-9CrossRefPubMedPubMedCentral

12.

Emery RW, Merritt SA, Lank K, Gibbs JD (2016) Accuracy of dynamic navigation for dental implant placement-model-based evaluation. J Oral Implantol 42(5):399–405. https://doi.org/10.1563/aaid-joi-D-16-00025CrossRefPubMed

13.

Aminov O, Regan W, Giles JW, Simon MJ, Hodgson AJ (2022) Targeting repeatability of a less obtrusive surgical navigation procedure for total shoulder arthroplasty. Int J Comput Assist Radiol Surg 17(2):283–293. https://doi.org/10.1007/s11548-021-02503-0CrossRefPubMed

14.

Zhu M, He B, Yu J, Yuan F, Liu J (2022) Hydramarker: efficient, flexible, and multifold marker field generation. IEEE Trans Pattern Anal Mach Intell. https://doi.org/10.1109/TPAMI.2022.3212862CrossRefPubMed

15.

Rosten E, Drummond T (2006) Machine learning for high-speed corner detection. In: European conference on computer vision, pp 430–443, https://doi.org/10.1007/11744023_34

16.

Förstner W, Gülch E (1987) A fast operator for detection and precise location of distinct points, corners and centres of circular features. In: Proc. ISPRS intercommission conference on fast processing of photogrammetric data, pp 281–305

17.

Wang S, Zhu M, Hu Y, Li D, Yuan F, Yu J (2022) Accurate detection and localization of curved checkerboard-like marker based on quadratic form. IEEE Trans Instrum Meas 71:1–11. https://doi.org/10.1109/TIM.2022.3195277CrossRef

18.

Besl PJ, McKay ND (1992) Method for registration of 3-d shapes. In: Sensor fusion IV: control paradigms and data structures, pp 586–606, https://doi.org/10.1109/34.121791

19.

Sorkine-Hornung O, Rabinovich M (2017) Least-squares rigid motion using svd. Computing 1(1):1–5

20.

Schonberger JL, Frahm JM (2016) Structure-from-motion revisited. In: IEEE Conference on Computer Vision and Pattern Recognition, pp 4104–4113, https://doi.org/10.1109/CVPR.2016.445

21.

Lin Q, Cai K, Yang R, Chen H, Wang Z, Zhou J (2016) Development and validation of a near-infrared optical system for tracking surgical instruments. J Med Syst 40(4):1–14. https://doi.org/10.1007/s10916-016-0462-0CrossRef

22.

Zhou Z, Wu B, Duan J, Zhang X, Zhang N, Liang Z (2017) Optical surgical instrument tracking system based on the principle of stereo vision. J Biomed Opt 22(6):065CrossRef

23.

Northern Digital Inc. (2022) https://www.ndigital.com/optical-measurement-technology/. Accessed 22 May, 2022

24.

Fan Z, Chen G, Wang J, Liao H (2017) Spatial position measurement system for surgical navigation using 3-d image marker-based tracking tools with compact volume. IEEE Trans Biomed Eng 65(2):378–389. https://doi.org/10.1109/TBME.2017.2771356CrossRef

25.

Gadwe A, Ren H (2018) Real-time 6dof pose estimation of endoscopic instruments using printable markers. IEEE Sens J 19(6):2338–2346. https://doi.org/10.1109/JSEN.2018.2886418CrossRef

26.

Cartucho J, Wang C, Huang B, S. Elson D, Darzi A, Giannarou S, (2021) An enhanced marker pattern that achieves improved accuracy in surgical tool tracking. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 10(4):400–408. https://doi.org/10.1080/21681163.2021.1997647

27.

Zhang M, Wu B, Ye C, Wang Y, Duan J, Zhang X, Zhang N (2019) Multiple instruments motion trajectory tracking in optical surgical navigation. Opt Exp 27(11):15827–15845CrossRef

28.

Min Z, Zhu D, Meng MQH (2016) Accuracy assessment of an n-ocular motion capture system for surgical tool tip tracking using pivot calibration. In: IEEE International Conference on Information and Automation, pp 1630–1634, https://doi.org/10.1109/ICInfA.2016.7832079

29.

Zhu M, Liu F, Zhou C, Lin L, Zhang Y, Chai G, Xie L, Qi F, Li Q (2018) Does intraoperative navigation improve the accuracy of mandibular angle osteotomy: comparison between augmented reality navigation, individualised templates and free-hand techniques. J Plastic, Reconstruct Aesthetic Surg 71(8):1188–1195. https://doi.org/10.1016/j.bjps.2018.03.018CrossRef

30.

Ma L, Wang J, Kiyomatsu H, Tsukihara H, Sakuma I, Kobayashi E (2021) Surgical navigation system for laparoscopic lateral pelvic lymph node dissection in rectal cancer surgery using laparoscopic-vision-tracked ultrasonic imaging. Surg Endosc 35(12):6556–6567. https://doi.org/10.1007/s00464-020-08153-8CrossRefPubMed

31.

Elmi-Terander A, Nachabe R, Skulason H, Pedersen K, Söderman M, Racadio J, Babic D, Gerdhem P, Edström E (2018) Feasibility and accuracy of thoracolumbar minimally invasive pedicle screw placement with augmented reality navigation technology. Spine 43(14):1018–1023. https://doi.org/10.1097/BRS.0000000000002502CrossRefPubMedPubMedCentral

32.

Tsutsui T, Goto T, Wada K, Takasago T, Hamada D, Sairyo K (2017) Efficacy of a computed tomography-based navigation system for placement of the acetabular component in total hip arthroplasty for developmental dysplasia of the hip. J Orthop Surg 25(3):1–7. https://doi.org/10.1177/2309499017727954CrossRef

33.

Tetsunaga T, Yamada K, Tetsunaga T, Furumatsu T, Sanki T, Kawamura Y, Ozaki T (2021) Comparison of the accuracy of ct-and accelerometer-based navigation systems for cup orientation in total hip arthroplasty. Hip Int 31(5):603–608. https://doi.org/10.1177/1120700020904940CrossRefPubMed

Titel: Image-guided navigation system for minimally invasive total hip arthroplasty (MITHA) using an improved position-sensing marker
verfasst von: Xianzhong Xie
Mingzhu Zhu
Bingwei He
Jie Xu
Publikationsdatum: 09.03.2023
Verlag: Springer International Publishing
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 12/2023
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-023-02861-x

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Abstract

Purpose

Methods

Results

Conclusion

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