Print Email Facebook Twitter Optimal Colour Filtering for Laparoscopic Surgery Title Optimal Colour Filtering for Laparoscopic Surgery Author Posner, Noah (TU Delft Electrical Engineering, Mathematics and Computer Science) Stefanidi, Andrei (TU Delft Aerospace Engineering) Hanhart, Jasmijn (TU Delft Applied Sciences) Thakoerdajal, Dinesh (TU Delft Mechanical, Maritime and Materials Engineering) Contributor van der Elst, Maarten (mentor) Degree granting institution Delft University of Technology Programme Biomedical Engineering Date 2020-04-07 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. Subject Colours, Colour Vision, Laparoscopy, RGB-values, Contrast To reference this document use: http://resolver.tudelft.nl/uuid:93142809-9c57-46fb-8ee4-cb61cf1c7178 Part of collection Student theses Document type student report Rights © 2020 Noah Posner, Andrei Stefanidi, Jasmijn Hanhart, Dinesh Thakoerdajal Files PDF Optimal_Colours_for_Surgery.pdf 12.61 MB Close viewer /islandora/object/uuid:93142809-9c57-46fb-8ee4-cb61cf1c7178/datastream/OBJ/view