Multi-target Attachment for Surgical Instrument Tracking
The pose estimation of a surgical instrument is a common problem in the new needs of medical science. Many instrument tracking methods use markers with a known geometry that allows for solving the instrument pose as detected by a camera. However, marker occlusion happens, and it hinders correct pose...
- Autores:
-
Benjumea, Eberto
Sierra, Juan S.
Meza, Jhacson
Marrugo Hernández, Andrés Guillermo
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/10421
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/10421
https://doi.org/10.1007/978-3-030-77004-4_33
- Palabra clave:
- Multi-target ArUco marker
MPose estimation
Optical instrument tracking
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Multi-target Attachment for Surgical Instrument Tracking |
| title |
Multi-target Attachment for Surgical Instrument Tracking |
| spellingShingle |
Multi-target Attachment for Surgical Instrument Tracking Multi-target ArUco marker MPose estimation Optical instrument tracking LEMB |
| title_short |
Multi-target Attachment for Surgical Instrument Tracking |
| title_full |
Multi-target Attachment for Surgical Instrument Tracking |
| title_fullStr |
Multi-target Attachment for Surgical Instrument Tracking |
| title_full_unstemmed |
Multi-target Attachment for Surgical Instrument Tracking |
| title_sort |
Multi-target Attachment for Surgical Instrument Tracking |
| dc.creator.fl_str_mv |
Benjumea, Eberto Sierra, Juan S. Meza, Jhacson Marrugo Hernández, Andrés Guillermo |
| dc.contributor.author.none.fl_str_mv |
Benjumea, Eberto Sierra, Juan S. Meza, Jhacson Marrugo Hernández, Andrés Guillermo |
| dc.subject.keywords.spa.fl_str_mv |
Multi-target ArUco marker MPose estimation Optical instrument tracking |
| topic |
Multi-target ArUco marker MPose estimation Optical instrument tracking LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
The pose estimation of a surgical instrument is a common problem in the new needs of medical science. Many instrument tracking methods use markers with a known geometry that allows for solving the instrument pose as detected by a camera. However, marker occlusion happens, and it hinders correct pose estimation. In this work, we propose an adaptable multi-target attachment with ArUco markers to solve occlusion problems on tracking a medical instrument like an ultrasound probe or a scalpel. Our multi-target system allows for precise and redundant real-time pose estimation implemented in OpenCV. Encouraging results show that the multi-target device may prove useful in the clinical setting |
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2021 |
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2021-06-16 |
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2022-01-28T20:03:03Z |
| dc.date.available.none.fl_str_mv |
2022-01-28T20:03:03Z |
| dc.date.submitted.none.fl_str_mv |
2022-01-27 |
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info:eu-repo/semantics/article |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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E. Roman-Rangel et al. (Eds.): MCPR 2021, LNCS 12725, pp. 345–354, 2021. Springer Nature Switzerland AG 2021 https://doi.org/10.1007/978-3-030-77004-4_33 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/10421 |
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https://doi.org/10.1007/978-3-030-77004-4_33 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
E. Roman-Rangel et al. (Eds.): MCPR 2021, LNCS 12725, pp. 345–354, 2021. Springer Nature Switzerland AG 2021 https://doi.org/10.1007/978-3-030-77004-4_33 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
| url |
https://hdl.handle.net/20.500.12585/10421 https://doi.org/10.1007/978-3-030-77004-4_33 |
| dc.language.iso.spa.fl_str_mv |
eng |
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eng |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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10 Páginas |
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Cartagena de Indias |
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Pattern Recognition - vol. 12725 |
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Benjumea, Ebertofcf5517c-943a-4b31-b047-96dd34300c9dSierra, Juan S.225cb910-26f4-4ac4-9967-4da4e91f4debMeza, Jhacsonf82caa3d-d398-4c7c-8651-1d32adcd8925Marrugo Hernández, Andrés Guillermo3d6cd388-d48f-4669-934f-49ca4179f5422022-01-28T20:03:03Z2022-01-28T20:03:03Z2021-06-162022-01-27E. Roman-Rangel et al. (Eds.): MCPR 2021, LNCS 12725, pp. 345–354, 2021. Springer Nature Switzerland AG 2021 https://doi.org/10.1007/978-3-030-77004-4_33https://hdl.handle.net/20.500.12585/10421https://doi.org/10.1007/978-3-030-77004-4_33Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe pose estimation of a surgical instrument is a common problem in the new needs of medical science. Many instrument tracking methods use markers with a known geometry that allows for solving the instrument pose as detected by a camera. However, marker occlusion happens, and it hinders correct pose estimation. In this work, we propose an adaptable multi-target attachment with ArUco markers to solve occlusion problems on tracking a medical instrument like an ultrasound probe or a scalpel. Our multi-target system allows for precise and redundant real-time pose estimation implemented in OpenCV. Encouraging results show that the multi-target device may prove useful in the clinical setting10 Páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Pattern Recognition - vol. 12725Multi-target Attachment for Surgical Instrument Trackinginfo:eu-repo/semantics/articleinfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/resource_type/c_2df8fbb1Multi-target ArUco markerMPose estimationOptical instrument trackingLEMBCartagena de IndiasAvola, D., Cinque, L., Foresti, G.L., Mercuri, C., Pannone, D.: A practical framework for the development of augmented reality applications by using aruco markers. In: International Conference on Pattern Recognition Applications and Methods, vol. 2, pp. 645–654. SCITEPRESS (2016)Azuma, R.T.: A survey of augmented reality. Presence: TeleoperatorsVirtual Environ. 6(4), 355–385 (1997)Bootsma, G.J., Siewerdsen, J.H., Daly, M.J., Jaffray, D.A.: Initial investigation of an automatic registration algorithm for surgical navigation. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3638–3642 (2008). https://doi.org/10.1109/IEMBS.2008.4649996Colley, E., Carroll, J., Thomas, S., Varcoe, R.L., Simmons, A., Barber, T.: A methodology for non-invasive 3-D surveillance of arteriovenous fistulae using freehand ultrasound. IEEE Trans. Biomed. Eng. 65(8), 1885–1891 (2017)DeSouza, G.N., Kak, A.C.: Vision for mobile robot navigation: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 24(2), 237–267 (2002)Garrido-Jurado, S., Mu˜noz Salinas, R., Madrid-Cuevas, F., Medina-Carnicer, R.: Generation of fiducial marker dictionaries using mixed integer linear programming. Pattern Recogn. 51(C), 481–491 2016). https://doi.org/10.1016/j.patcog.2015.09. 023Garrido-Jurado, S., Mu˜noz-Salinas, R., Madrid-Cuevas, F.J., Mar´ın-Jim´enez, M.J.: Automatic generation and detection of highly reliable fiducial markers under occlusion. Pattern Recogn. 47(6), 2280–2292 (2014)Hu, D., DeTone, D., Malisiewicz, T.: Deep charuco: dark charuco marker pose estimation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2019Kato, H., Billinghurst, M.: Marker tracking and HMD calibration for a videobased augmented reality conferencing system. In: Proceedings 2nd IEEE and ACM International Workshop on Augmented Reality (IWAR 1999), pp. 85–94. IEEE (1999)Knyaz, V.A.: The development of new coded targets for automated point identification and non-contact 3D surface measurements. IAPRS 5, 80–85 (1998)Koeda, M., Yano, D., Shintaku, N., Onishi, K., Noborio, H.: Development of wireless surgical knife attachment with proximity indicators using aruco marker. In: Kurosu, M. (ed.) HCI 2018. LNCS, vol. 10902, pp. 14–26. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91244-8 2. Mercier, L., Langø, T., Lindseth, F., Collins, D.L.: A review of calibration techniques for freehand 3-D ultrasound systems. Ultrasound Med. Biol. 31(4), 449–471 (2005). Meza, J., Simarra, P., Contreras-Ojeda, S., Romero, L.A., Contreras Ortiz, S.H., Ar´ambula Cos´ıo, F., Marrugo, A.G.: A low-cost multi-modal medical imaging system with fringe projection profilometry and 3D freehand ultrasound. Proc. SPIE 11330, 1133004 (2020)Romero, C., Naufal, C., Meza, J., Marrugo, A.G.: A validation strategy for a targetbased vision tracking system with an industrial robot. J. Phys.: Conf. Ser. 1547, 012018 (2020). https://doi.org/10.1088/1742-6596/1547/1/012018Romero-Ramirez, F., Mu˜noz-Salinas, R., Medina-Carnicer, R.: Speeded up detection of squared fiducial markers. Image Vision Comput. 76 (2018). https://doi.org/ 10.1016/j.imavis.2018.05.004Romero-Ramirez, F.J., Mu˜noz-Salinas, R., Medina-Carnicer, R.: Fractal markers: a new approach for long-range marker pose estimation under occlusion. IEEE Access 7, 169908–169919 (2019)Sani, M.F., Karimian, G.: Automatic navigation and landing of an indoor AR. Drone quadrotor using arUco marker and inertial sensors. In: 2017 International Conference on Computer and Drone Applications (IConDA), pp. 102–107. IEEE (2017). Treece, G.M., Gee, A.H., Prager, R.W., Cash, C.J., Berman, L.H.: High-definition freehand 3-D ultrasound. Ultrasound Med. Biol. 29(4), 529–546 (2003)Wang, J., Olson, E.: Apriltag 2: efficient and robust fiducial detection. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4193–4198. IEEE (2016)Yano, D., Koeda, M., Onishi, K., Noborio, H.: Development of a surgical knife attachment with proximity indicators. In: Marcus, A., Wang, W. (eds.) DUXU 2017. LNCS, vol. 10289, pp. 608–618. 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