Tchaka, KT;
Pawar, V;
Stoyanov, D;
(2017)
Chromaticity based Smoke Removal in Endoscopic Image.
In: Styner, MA and Angelini, ED, (eds.)
Medical Imaging 2017: Image Processing.
(pp. 101331M-1-101331M-8).
Society of Photo-Optical Instrumentation Engineers (SPIE)
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Abstract
In minimally invasive surgery, image quality is a critical pre-requisite to ensure a surgeons ability to perform a procedure. In endoscopic procedures, image quality can deteriorate for a number of reasons such as fogging due to the temperature gradient after intra-corporeal insertion, lack of focus and due to smoke generated when using electro-cautery to dissect tissues without bleeding. In this paper we investigate the use of vision processing techniques to remove surgical smoke and improve the clarity of the image. We model the image formation process by introducing a haze medium to account for the degradation of visibility. For simplicity and computational e ciency we use an adapted dark-channel prior method combined with histogram equalization to remove smoke artifacts to recover the radiance image and enhance the contrast and brightness of the nal result. Our initial results on images from robotic assisted procedures are promising and show that the proposed approach may be used to enhance image quality during surgery without additional suction devices. In addition, the processing pipeline may be used as an important part of a robust surgical vision pipeline that can continue working in the presence of smoke.
| Type: | Proceedings paper |
|---|---|
| Title: | Chromaticity based Smoke Removal in Endoscopic Image |
| Event: | SPIE Medical Imaging |
| Location: | Orlando, Florida, US |
| Dates: | 11 February 2017 - 16 February 2017 |
| ISBN-13: | 9781510607118 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/12.2254622 |
| Publisher version: | http://dx.doi.org/10.1117/12.2254622 |
| Language: | English |
| Additional information: | Copyright © 2017 Society of Photo Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. |
| Keywords: | Surgical vision, minimally invasive surgery, endoscopy, smoke removal |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1544094 |
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