An application for retrieval of frames from a laparoscopic surgical video based on image of query instrument

This paper describes a practical and reliable solution/approach to achieve automated retrieval of surgical instruments used in laparoscopic surgery. The central goal is to locate particular video frames containing intended information which can be used for analysis and diagnosis. In this paper, a practical system is proposed where the users need not manually search the candidate frames in the entire video. Instead, users can give any query object (in image format) and the frames containing the object will be retrieved. Given an object image, the method extracts features like color and shape of objects in each frame of the laparoscopic video and compare with the input image feature to retrieve the frames containing the desired instrument. The system can recognize the instrument in 91% cases but does not give any false alarm. Experimental results are presented to show the feasibility of the proposed application.

[1]  Dong-Soo Kwon,et al.  A surgical knowledge based interaction method for a laparoscopic assistant robot , 2004, RO-MAN 2004. 13th IEEE International Workshop on Robot and Human Interactive Communication (IEEE Catalog No.04TH8759).

[2]  Luc Soler,et al.  Autonomous 3-D positioning of surgical instruments in robotized laparoscopic surgery using visual servoing , 2003, IEEE Trans. Robotics Autom..

[3]  Joan Climent,et al.  Automatic Instrument Localization in Laparoscopic Surgery , 2009, Progress in Computer Vision and Image Analysis.

[4]  Dong-Soo Kwon,et al.  Compact camera assistant robot for minimally invasive surgery: KaLAR , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[5]  Y. F. Wang,et al.  Automated instrument tracking in robotically assisted laparoscopic surgery. , 1995, Journal of image guided surgery.

[6]  Yuan-Fang Wang,et al.  Automated instrument tracking in robotically assisted laparoscopic surgery. , 1995 .

[7]  Xiaoli Zhang,et al.  Application of visual tracking for robot-assisted laparoscopic surgery , 2002, J. Field Robotics.

[8]  Antoine Geissbühler,et al.  A Review of Content{Based Image Retrieval Systems in Medical Applications { Clinical Bene(cid:12)ts and Future Directions , 2022 .

[9]  Joan Climent,et al.  Automatic instrument localization in laparoscopic surgery , 2004 .

[10]  H. Nait Charif,et al.  Towards Video Understanding of Laparoscopic Surgery : Instrument Tracking , 2005 .