NDLI: Automated surgical step recognition in normalized cataract surgery videos

Content Provider	IEEE Xplore Digital Library
Author	Charriere, K. Quellec, G. Lamard, M. Coatrieux, G. Cochener, B. Cazuguel, G.
Copyright Year	2014
Description	Author affiliation: Univ. Bretagne Occidentale, Brest, France (Lamard, M.; Cochener, B.) \|\| INSERM, Brest, France (Quellec, G.) \|\| Dept. ITI, UEB, Brest, France (Charriere, K.; Coatrieux, G.; Cazuguel, G.)
Abstract	Huge amounts of surgical data are recorded during video-monitored surgery. Content-based video retrieval systems intent to reuse those data for computer-aided surgery. In this paper, we focus on real-time recognition of cataract surgery steps: the goal is to retrieve from a database surgery videos that were recorded during the same surgery step. The proposed system relies on motion features for video characterization. Motion features are usually impacted by eye motion or zoom level variations, which are not necessarily relevant for surgery step recognition. Those problems certainly limit the performance of the retrieval system. We therefore propose to refine motion feature extraction by applying pre-processing steps based on a novel pupil center and scale tracking method. Those pre-processing steps are evaluated for two different motion features. In this paper, a similarity measure adapted from Piciarelli's video surveillance system is evaluated for the first time in a surgery dataset. This similarity measure provides good results and for both motion features, the proposed preprocessing steps improved the retrieval performance of the system significantly.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	4647
Ending Page	4650
File Size	1096083
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944660
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Surgery Videos Feature extraction Video sequences Visualization Iris recognition Real-time systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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