Literature DB >> 21574828

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

Loubna Bouarfa1, Oytun Akman, Armin Schneider, Pieter P Jonker, Jenny Dankelman.   

Abstract

Tracking instruments during surgery is becoming a useful acquisition tool for different applications. This article presents a tracking system to detect and track instruments in endoscopic video using biocompatible colour markers. The system tracks single or multiple instruments in the video. The originality of this method is that it combines continuously adaptive shift algorithm with Kalman-filter for real-time tracking of single and multiple surgical instruments during surgery. Preliminary results show that the proposed method has a real-time performance. Moreover it is robust to partial occlusion and smoke. The system shows high sensitivity and specificity results for blue, green and yellow colours. The achieved sensitivity and specificity results are sufficient to apply the system for real-time registration of surgical workflow in-vivo during surgery.

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Year:  2011        PMID: 21574828     DOI: 10.3109/13645706.2011.580764

Source DB:  PubMed          Journal:  Minim Invasive Ther Allied Technol        ISSN: 1364-5706            Impact factor:   2.442


  10 in total

1.  Reliability of sensor-based real-time workflow recognition in laparoscopic cholecystectomy.

Authors:  Michael Kranzfelder; Armin Schneider; Adam Fiolka; Sebastian Koller; Silvano Reiser; Thomas Vogel; Dirk Wilhelm; Hubertus Feussner
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-02-21       Impact factor: 2.924

2.  Surgical task analysis of simulated laparoscopic cholecystectomy with a navigation system.

Authors:  T Sugino; H Kawahira; R Nakamura
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-01-14       Impact factor: 2.924

3.  Intra-operative surgical instrument usage detection on a multi-sensor table.

Authors:  Bernhard Glaser; Stefan Dänzer; Thomas Neumuth
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-05-15       Impact factor: 2.924

4.  Comparison of the performance of experienced and novice surgeons: measurement of gripping force during laparoscopic surgery performed on pigs using forceps with pressure sensors.

Authors:  Azumi Araki; Kazuhide Makiyama; Hiroyuki Yamanaka; Daiki Ueno; Kimito Osaka; Manabu Nagasaka; Takahiro Yamada; Masahiro Yao
Journal:  Surg Endosc       Date:  2016-08-29       Impact factor: 4.584

5.  EVA: laparoscopic instrument tracking based on Endoscopic Video Analysis for psychomotor skills assessment.

Authors:  Ignacio Oropesa; Patricia Sánchez-González; Magdalena K Chmarra; Pablo Lamata; Alvaro Fernández; Juan A Sánchez-Margallo; Frank Willem Jansen; Jenny Dankelman; Francisco M Sánchez-Margallo; Enrique J Gómez
Journal:  Surg Endosc       Date:  2012-10-06       Impact factor: 4.584

6.  Laparoscopic training using a quantitative assessment and instructional system.

Authors:  T Yamaguchi; R Nakamura
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-04-28       Impact factor: 2.924

7.  A Kalman-Filter-Based Common Algorithm Approach for Object Detection in Surgery Scene to Assist Surgeon's Situation Awareness in Robot-Assisted Laparoscopic Surgery.

Authors:  Jiwon Ryu; Youngjin Moon; Jaesoon Choi; Hee Chan Kim
Journal:  J Healthc Eng       Date:  2018-05-02       Impact factor: 2.682

8.  Image-guided Raman spectroscopy probe-tracking for tumor margin delineation.

Authors:  Conor C Horgan; Mads S Bergholt; May Zaw Thin; Anika Nagelkerke; Robert Kennedy; Tammy L Kalber; Daniel J Stuckey; Molly M Stevens
Journal:  J Biomed Opt       Date:  2021-03       Impact factor: 3.170

9.  Robotic Endoscope Control Via Autonomous Instrument Tracking.

Authors:  Caspar Gruijthuijsen; Luis C Garcia-Peraza-Herrera; Gianni Borghesan; Dominiek Reynaerts; Jan Deprest; Sebastien Ourselin; Tom Vercauteren; Emmanuel Vander Poorten
Journal:  Front Robot AI       Date:  2022-04-11

10.  Real-time tracking of a diffuse reflectance spectroscopy probe used to aid histological validation of margin assessment in upper gastrointestinal cancer resection surgery.

Authors:  Ioannis Gkouzionis; Scarlet Nazarian; Michal Kawka; Ara Darzi; Nisha Patel; Christopher J Peters; Daniel S Elson
Journal:  J Biomed Opt       Date:  2022-02       Impact factor: 3.758

  10 in total

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