ABSTRACT
Training and evaluation of laparoscopic skills have become an important aspect of young surgeons' education. The evaluation process is currently performed manually by experienced surgeons through reviewing video recordings of laparoscopic procedures for detecting technical errors using conventional video players and specific pen and paper rating schemes. The problem is, that the manual review process is time-consuming and exhausting, but nevertheless necessary to support young surgeons in their educational training. Motivated by the need to reduce the effort in evaluating laparoscopic skills, this PhD project aims at investigating state-of-the-art content analysis approaches for finding error-prone video sections in surgery videos. In this proposal, the focus specifically lies on performance assessment in gynecologic laparoscopy using the Generic Error Rating Tool (GERT).
- J.K. Aggarwal and M.S. Ryoo . 2011. Human Activity Analysis. Comput. Surveys Vol. 43, 3 (apr . 2011), 1--43. Google ScholarDigital Library
- E. M. Bonrath, B. Zevin, N. J. Dedy, and T. P. Grantcharov . 2013. Error Rating Tool to Identify and Analyse Technical Errors and Events in Laparoscopic Surgery. British Journal of Surgery Vol. 100, 8 (2013), 1080--1088.Google ScholarCross Ref
- Y. Gao, S. S. Vedula, C. E. Reiley, N. Ahmidi, B. Varadarajan, H. C. Lin, L. Tao, L. Zappella, B. Béjar, D. D. Yuh, C. C. G. Chen, R. Vidal, S. Khudanpur, and G. D. Hager . 2014. JHU-ISI Gesture and Skill Assessment Working Set (JIGSAWS): A Surgical Activity Dataset for Human Motion Modeling. Modeling and Monitoring of Computer Assisted Interventions (M2CAI) -- MICCAI Workshop (2014), 1--10.Google Scholar
- Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik . 2014. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, 580--587. Google ScholarDigital Library
- M. A. Hudelist, H. Husslein, B. Munzer, S. Kletz, and K. Schoeffmann . 2017. A Tool to Support Surgical Quality Assessment. Proceedings of the 2017 IEEE Third International Conference on Multimedia Big Data (BigMM). IEEE, 238--239.Google ScholarCross Ref
- H. Husslein, L. Shirreff, Eliane M. Shore, G. G. Lefebvre, and F. P. Grantcharov . 2015. The Generic Error Rating Tool: A Novel Approach to Assessment of Performance and Surgical Education in Gynecologic Laparoscopy. Journal of Surgical Education Vol. 72, 6 (2015), 1259--1265.Google ScholarCross Ref
- G. Islam, K. Kahol, B. Li, M. Smith, and V. L. Patel . 2016. Affordable, Web-based Surgical Skill Training and Evaluation Tool. Journal of Biomedical Informatics Vol. 59 (2016), 102--114. Google ScholarDigital Library
- William E. Jr. Kelley . 2008. The Evolution of Laparoscopy and the Revolution in Surgery in the Decade of the 1990s. JSLS: Journal of the Society of Laparoendoscopic Surgeons, Vol. 12, 4 (2008), 351--357.Google Scholar
- Sabrina Kletz, Klaus Schoeffmann, Bernd Münzer, Manfred J. Primus, and Heinrich Husslein . 2017. Surgical Action Retrieval for Assisting Video Review of Laparoscopic Skills Proceedings of the 2017 ACM Workshop on Multimedia-based Educational and Knowledge Technologies for Personalized and Social Online Training - MultiEdTech '17. ACM Press, New York, New York, USA, 11--19. Google ScholarDigital Library
- Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton . 2012. ImageNet Classification with Deep Convolutional Neural Networks Proceedings of the 25th International Conference on Neural Information Processing Systems (NIPS'12). Curran Associates, Inc., Lake Tahoe, Nevada, 1097--1105. Google ScholarDigital Library
- Andreas Leibetseder, Stefan Petscharnig, Manfred Jürgen Primus, Sabrina Kletz, Bernd Münzer, Klaus Schoeffmann, and Jörg Keckstein . 2018. LapGyn4: A Dataset for 4 Automatic Content Analysis Problems in the Domain of Laparoscopic Gynecology. In Proceedings of the 9th ACM Multimedia Systems Conference on - MMSys '18. ACM Press, New York, New York, USA, 357--362. Google ScholarDigital Library
- J A Martin, G Regehr, R Reznick, H MacRae, J Murnaghan, C Hutchison, and M Brown . 1997. Objective Structured Assessment of Technical Skill (OSATS) for Surgical Residents. The British journal of surgery Vol. 84, 2 (feb . 1997), 273--8.Google Scholar
- B. Münzer, K. Schoeffmann, and L. Böszörmenyi . 2017. Content-based Processing and Analysis of Endoscopic Images and Videos: A Survey. Multimedia Tools and Applications (jan . 2017), 1--40. Google ScholarDigital Library
- I. Oropesa, Patricia Sánchez-G., M. K. Chmarra, P. Lamata, Á. Fernández, J. A. Sánchez-Margallo, F. W. Jansen, J. Dankelman, F. M. Sánchez-Margallo, and E. J. Gómez . 2013. EVA: Laparoscopic instrument tracking based on endoscopic video analysis for psychomotor skills assessment. Surgical Endoscopy and Other Interventional Techniques, Vol. 27, 3 (2013), 1029--1039.Google ScholarCross Ref
- Manfred Jürgen Primus, Klaus Schoeffmann, and Laszlo Böszörmenyi . 2015. Instrument Classification in Laparoscopic Videos Proceedings - International Workshop on Content-Based Multimedia Indexing, Vol. Vol. 2015-July. IEEE, 1--6.Google Scholar
- Klaus Schoeffmann, Heinrich Husslein, Sabrina Kletz, Stefan Petscharnig, Bernd Muenzer, and Christian Beecks . 2018. Video Retrieval in Laparoscopic Video Recordings with Dynamic Content Descriptors. Multimedia Tools and Applications Vol. 77, 13 (jul . 2018), 16813--16832. Google ScholarDigital Library
- Andru P. Twinanda, Sherif Shehata, Didier Mutter, Jacques Marescaux, Michel De Mathelin, and Nicolas Padoy . 2016. EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos. IEEE Transactions on Medical Imaging Vol. 36, 1 (feb . 2016), 86--97.Google Scholar
- Luca Zappella, Benjamin Beéjar, Gregory Hager, and René Vidal . 2013. Surgical Gesture Classification from Video and Kinematic Data. Medical Image Analysis Vol. 17, 7 (2013), 732--745.Google ScholarCross Ref
Index Terms
- On Reducing Effort in Evaluating Laparoscopic Skills
Recommendations
Patient-Specific Simulation of Pneumoperitoneum for Laparoscopic Surgical Planning
AbstractGas insufflation in laparoscopy deforms the abdomen and stretches the overlying skin. This limits the use of surgical image-guidance technologies and challenges the appropriate placement of trocars, which influences the operative ease and ...
Virtual Laparoscopic Training System Based on VCH Model
Laparoscopy has been widely used to perform abdominal surgeries, as it is advantageous in that the patients experience lower post-surgical trauma, shorter convalescence, and less pain as compared to traditional surgery. Laparoscopic surgeries require ...
Modeling, Analysis, and Experimental Study of In Vivo Wheeled Robotic Mobility
Laparoscopy is abdominal surgery performed with long tools inserted through small incisions. The use of small incisions reduces patient trauma, but also eliminates the surgeon's ability to view and touch the surgical environment directly. These ...
Comments