Optimal Colour Filtering for Laparoscopic Surgery

Student report (2020)

Authors

N.B. Posner Electrical Engineering, Mathematics and Computer Science
A. Stefanidi Aerospace Engineering
J. Hanhart Applied Sciences
Dinesh Singh Mechanical Engineering

Contributors

M. van der Elst Support Biomechanical Engineering (mentor)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2020 Noah Posner, Andrei Stefanidi, Jasmijn Hanhart, Dinesh Thakoerdajal
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Published Date

07-04-2020

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Laparoscopy was shown to be highly effective in improving patients healthcare outcomes in comparison to traditional open surgery, ensuring faster healing, reduced scarring of the tissue and reduced pain. Laparoscopy has a great technological complexity, causing difficulties which make it of great interest to the engineering community. This research investigated whether colour filtering provides a better contrast during laparoscopic surgery, allowing for easier identification of tissues and vessels. A video of a gall bladder removal surgery was first carefully analysed for key moments when the hepatic vessels, gall duct and gallbladder vessels were visible. Three different reference images were selected from the original video and twelve different RGB (Red, Green, Blue) ratios were used to create new colour enhanced images for each of the selections in Darktable.