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Technological free papers

In-vivo real-time tracking of surgical instruments in endoscopic video

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Pages 129-134 | Received 17 Jan 2011, Accepted 03 Mar 2011, Published online: 16 May 2011

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Zijian Zhao, Sandrine Voros, Ying Weng, Faliang Chang & Ruijian Li. (2017) Tracking-by-detection of surgical instruments in minimally invasive surgery via the convolutional neural network deep learning-based method. Computer Assisted Surgery 22:sup1, pages 26-35.
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Keyvan Amini Khoiy, Alireza Mirbagheri & Farzam Farahmand. (2016) Automatic tracking of laparoscopic instruments for autonomous control of a cameraman robot. Minimally Invasive Therapy & Allied Technologies 25:3, pages 121-128.
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Juan A Sánchez-Margallo, Francisco M Sánchez-Margallo, Ignacio Oropesa & Enrique J Gómez. (2014) Systems and technologies for objective evaluation of technical skills in laparoscopic surgery. Minimally Invasive Therapy & Allied Technologies 23:1, pages 40-51.
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Articles from other publishers (25)

Wenjie Wang, Yang Luo, Jie Wang, Xiaohua Wang & Huajian Song. (2023) ToolNet-X: Surgical Instrument Detection Combined With High-Order Spatial Interaction. IEEE Transactions on Medical Robotics and Bionics 5:4, pages 857-866.
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Wenjie Wang, Yang Luo, Jie Wang, Xiaohua Wang & Huajian Song. (2023) Robotic-Assisted Laparoscopic Adjustment: A Meta-Analysis and Review. IEEE Transactions on Instrumentation and Measurement 72, pages 1-19.
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Guanzhi Ding, Xiushun Zhao, Cai Peng, Li Li, Jing Guo, Depei Li & Xiaobing Jiang. (2023) Anchor-Free Feature Aggregation Network for Instrument Detection in Endoscopic Surgery. IEEE Access 11, pages 29464-29473.
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Caspar Gruijthuijsen, Luis C. Garcia-Peraza-Herrera, Gianni Borghesan, Dominiek Reynaerts, Jan Deprest, Sebastien Ourselin, Tom Vercauteren & Emmanuel Vander Poorten. (2022) Robotic Endoscope Control Via Autonomous Instrument Tracking. Frontiers in Robotics and AI 9.
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Zuoming Fu, Ziyi Jin, Chongan Zhang, Zhongyu He, Zhenzhou Zha, Chunyong Hu, Tianyuan Gan, Qinglai Yan, Peng Wang & Xuesong Ye. (2021) The Future of Endoscopic Navigation: A Review of Advanced Endoscopic Vision Technology. IEEE Access 9, pages 41144-41167.
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Cristian da Costa Rocha, Nicolas Padoy & Benoit Rosa. (2019) Self-Supervised Surgical Tool Segmentation using Kinematic Information. Self-Supervised Surgical Tool Segmentation using Kinematic Information.
Zijian Zhao, Sandrine Voros, Zhaorui Chen & Xiaolin Cheng. (2019) Surgical tool tracking based on two CNNs: from coarse to fine. The Journal of Engineering 2019:14, pages 467-472.
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T. Yamaguchi & R. Nakamura. (2018) Laparoscopic training using a quantitative assessment and instructional system. International Journal of Computer Assisted Radiology and Surgery 13:9, pages 1453-1461.
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Stefan Franke, Max Rockstroh, Mathias Hofer & Thomas Neumuth. (2018) The intelligent OR: design and validation of a context-aware surgical working environment. International Journal of Computer Assisted Radiology and Surgery 13:8, pages 1301-1308.
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Jiwon Ryu, Youngjin Moon, Jaesoon Choi & Hee Chan Kim. (2018) A Kalman-Filter-Based Common Algorithm Approach for Object Detection in Surgery Scene to Assist Surgeon’s Situation Awareness in Robot-Assisted Laparoscopic Surgery. Journal of Healthcare Engineering 2018, pages 1-11.
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Bernd Münzer, Klaus Schoeffmann & Laszlo Böszörmenyi. (2017) Content-based processing and analysis of endoscopic images and videos: A survey. Multimedia Tools and Applications 77:1, pages 1323-1362.
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Azumi Araki, Kazuhide Makiyama, Hiroyuki Yamanaka, Daiki Ueno, Kimito Osaka, Manabu Nagasaka, Takahiro Yamada & Masahiro Yao. (2016) Comparison of the performance of experienced and novice surgeons: measurement of gripping force during laparoscopic surgery performed on pigs using forceps with pressure sensors. Surgical Endoscopy 31:4, pages 1999-2005.
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David Bouget, Max Allan, Danail Stoyanov & Pierre Jannin. (2017) Vision-based and marker-less surgical tool detection and tracking: a review of the literature. Medical Image Analysis 35, pages 633-654.
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Shahram Payandeh. 2016. Visual Tracking in Conventional Minimally Invasive Surgery. Visual Tracking in Conventional Minimally Invasive Surgery 49 90 .
Bernhard Glaser, Stefan Dänzer & Thomas Neumuth. (2014) Intra-operative surgical instrument usage detection on a multi-sensor table. International Journal of Computer Assisted Radiology and Surgery 10:3, pages 351-362.
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Gabriëlle J. M. Tuijthof & Inger N. Sierevelt. 2015. Effective Training of Arthroscopic Skills. Effective Training of Arthroscopic Skills 149 163 .
David Putzer, Sebastian Klug, Jose Luis Moctezuma & Michael Nogler. (2014) The Use of Time-of-Flight Camera for Navigating Robots in Computer-Aided Surgery. Surgical Innovation 21:6, pages 630-636.
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Congcong Wang, Rafael Palomar & Faouzi Alaya Cheikh. (2014) Stereo video analysis for instrument tracking in image-guided surgery. Stereo video analysis for instrument tracking in image-guided surgery.
Desara Xhura. (2014) Learning recognition of semantically relevant video segments from endoscopy videos contributed and edited in a private social network. Learning recognition of semantically relevant video segments from endoscopy videos contributed and edited in a private social network.
Michael Kranzfelder, Armin Schneider, Adam Fiolka, Sebastian Koller, Silvano Reiser, Thomas Vogel, Dirk Wilhelm & Hubertus Feussner. (2014) Reliability of sensor-based real-time workflow recognition in laparoscopic cholecystectomy. International Journal of Computer Assisted Radiology and Surgery 9:6, pages 941-948.
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T. Sugino, H. Kawahira & R. Nakamura. (2014) Surgical task analysis of simulated laparoscopic cholecystectomy with a navigation system. International Journal of Computer Assisted Radiology and Surgery 9:5, pages 825-836.
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Ryo Oguma, Toshiya Nakaguchi, Ryoichi Nakamura, Tadashi Yamaguchi, Hiroshi Kawahira & Hideaki Haneishi. 2014. Augmented Environments for Computer-Assisted Interventions. Augmented Environments for Computer-Assisted Interventions 14 22 .
Chun-Ju Chen, Wayne Shin-Wei Huang & Kai-Tai Song. (2013) Image tracking of laparoscopic instrument using spiking neural networks. Image tracking of laparoscopic instrument using spiking neural networks.
Germain Forestier, Florent Lalys, Laurent Riffaud, D. Louis Collins, Jurgen Meixensberger, Shafik N. Wassef, Thomas Neumuth, Benoit Goulet & Pierre Jannin. (2013) Multi-site study of surgical practice in neurosurgery based on surgical process models. Journal of Biomedical Informatics 46:5, pages 822-829.
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Ignacio Oropesa, Patricia Sánchez-González, Magdalena K. Chmarra, Pablo Lamata, Álvaro Fernández, Juan A. Sánchez-Margallo, Frank Willem Jansen, Jenny Dankelman, Francisco M. Sánchez-Margallo & Enrique J. Gómez. (2012) EVA: Laparoscopic Instrument Tracking Based on Endoscopic Video Analysis for Psychomotor Skills Assessment. Surgical Endoscopy 27:3, pages 1029-1039.
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