MURAGAKI Yoshihiro
Department School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine Position Visiting Professor |
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Language | English |
Title | Construction of annotated data for analysis of recorded cortical mapping videos |
Conference | 2015 IEEE 8th International Workshop on Computational Intelligence and Applications (IWCIA) |
Conference Type | International society and overseas society |
Publisher and common publisher | ◎NISHIMURA,Toshihiko NISHIMURA,Toshihiko, NAGAO,Tomoharu NAGAO,Tomoharu, ISEKI Hiroshi, MURAGAKI Yoshihiro, TAMURA Manabu, MINAMI Shinji |
Date | 2015/11/06 |
Venue (city and name of the country) |
Hiroshima, Japan |
Society abstract | 2015 IEEE 8th International Workshop on Computational Intelligence and Applications (IWCIA) 65-70 |
Summary | There is a need of surgery workflow analysis to increase an efficiency of advanced medical care. Surgical Operations have been recorded by several sensors for such as postoperative analysis and incidents detection. In particular, surgical video recording is commonly used, so there are some audio-visual recorded data, and they are useful to obtain a better understandings and description of advanced surgical operations. However, the recorded videos are not usually annotated, so it is not simple to conduct computational analysis, and data annotation is necessary to handle by computer. We target videos of awake craniotomy which is a special neurosurgery in this work. The cortical mapping process is the most important for brain tumor resection in awake craniotomy. Therefore, we aim to annotate this process to analyze medical staff's knowledge. We assume that the factor that affects the surgical procedures is below: positions of direct electric stimulations, duration of the stimulus, current intensity, tasks presented for patients. In this paper, we constructed annotated data from clinical recorded awake craniotomy videos. Data collection is performed manually by graphical user interface because several terms of annotation are hard to annotate completely automatically. After that, we visualized the several of annotated data and discussed the effect. |