Tracking of Instruments in Minimally Invasive Surgery for Surgical Skill Analysis. Speidel, S., Delles, M., Gutt, C., & Dillmann, R. In Yang, G., Jiang, T., Shen, D., Gu, L., & Yang, J., editors, Medical Imaging and Augmented Reality, of Lecture Notes in Computer Science, pages 148--155. Springer Berlin Heidelberg, January, 2006. ![Tracking of Instruments in Minimally Invasive Surgery for Surgical Skill Analysis [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex Intraoperative assistance systems aim to improve the quality of the surgery and enhance the surgeon’s capabilities. Preferable would be a system which provides support depending on the surgery context and surgical skills accomplished. Therefore, the automated analysis and recognition of surgical skills during an intervention is necessary. In this paper a robust tracking of instruments in minimally invasive surgery based on endoscopic image sequences is presented. The instruments were not modified and the tracking was tested on sequences acquired during a real intervention. The generated trajectory of the instruments provides information which can be further used for surgical gesture interpretation.
@incollection{speidel_tracking_2006,
series = {Lecture {Notes} in {Computer} {Science}},
title = {Tracking of {Instruments} in {Minimally} {Invasive} {Surgery} for {Surgical} {Skill} {Analysis}},
copyright = {©2006 Springer-Verlag Berlin Heidelberg},
isbn = {978-3-540-37220-2, 978-3-540-37221-9},
url = {http://link.springer.com/chapter/10.1007/11812715_19},
abstract = {Intraoperative assistance systems aim to improve the quality of the surgery and enhance the surgeon’s capabilities. Preferable would be a system which provides support depending on the surgery context and surgical skills accomplished. Therefore, the automated analysis and recognition of surgical skills during an intervention is necessary. In this paper a robust tracking of instruments in minimally invasive surgery based on endoscopic image sequences is presented. The instruments were not modified and the tracking was tested on sequences acquired during a real intervention. The generated trajectory of the instruments provides information which can be further used for surgical gesture interpretation.},
number = {4091},
urldate = {2013-02-14TZ},
booktitle = {Medical {Imaging} and {Augmented} {Reality}},
publisher = {Springer Berlin Heidelberg},
author = {Speidel, Stefanie and Delles, Michael and Gutt, Carsten and Dillmann, Rüdiger},
editor = {Yang, Guang-Zhong and Jiang, TianZi and Shen, Dinggang and Gu, Lixu and Yang, Jie},
month = jan,
year = {2006},
keywords = {Artificial Intelligence (incl. Robotics), Computer Graphics, Health Informatics, Image Processing and Computer Vision, Imaging / Radiology, Pattern Recognition},
pages = {148--155}
}
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