NDLI: Automatic detection of surgical gauzes using Computer Vision

Content Provider	IEEE Xplore Digital Library
Author	Garcia-Martinez, A. Juan, C.G. Garcia, N.M. Sabater-Navarro, J.M.
Copyright Year	2015
Description	Author affiliation: Syst. & Automatics Eng. Dept., Univ. Miguel Hernandez, Spain (Garcia-Martinez, A.; Juan, C.G.; Garcia, N.M.; Sabater-Navarro, J.M.)
Abstract	In this paper we study the effectiveness of different algorithms for texture classification based on the Local Binary Patterns method, in order to obtain in future a tracking system for surgical gauzes during a laparoscopic operation. Due to the mobility of the camera and the lack of a precise control over its position, the algorithms must work under unknown illumination and viewpoint parameters. Our intention is to provide to surgeons a simple tracking system in order to avoid mislaid gauzes during the operations, which might be completely unattended so that the surgical team can concentrate on the patient and not on the gauze counting. Due to blood stains, color classification it is not possible, also we cannot use the shape of the gauze, neither its position relative to the camera nor its size. So, the only possibility is to obtain a texture classification algorithm able to discriminate between the gauze surface and the background of the scene, i. e. the interior of the patient, laparoscopic tools and whatever is not a surgical gauze. For this purpose we try a few operators, looking for an algorithm for gray-scale texture classification. We apply the rotation invariant of the well-known Local Binary Pattern $(LBP^{riu2}),$ an improved version $(NI-LBP^{riu2})$ and a control operator consisting of a direct comparison between the histogram of a region of interest and the histogram of a reference image, which we call GauzeTrack Local Histograms Algorithm. All mentioned algorithms have been applied both on test textures and images extracted from a video of a real laparoscopic surgery. This way we could ensure that the proposed method works on a real situation and not only in the laboratory.
Starting Page	747
Ending Page	751
File Size	483438
Page Count	5
File Format	PDF
ISBN	9781479999361
DOI	10.1109/MED.2015.7158835
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-16
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laparoscopes Histograms Sensitivity Surgical robotics Surgery Gray-scale Classification algorithms computer-aided-surgery Radiofrequency identification
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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