Title :
Stereoscopic laparoscopy using depth information from 3D model
Author :
Kumar, Ajit ; Yen-Yu Wang ; Ching-Jen Wu ; Kai-Che Liu ; Hurng-Sheng Wu
Author_Institution :
Dept. of Med. Imaging, IRCAD-Taiwan, Changhua, Taiwan
Abstract :
Laparoscopic surgery is indispensable from the current surgical procedures. Conventional laparoscope (endoscope) systems produce 2D colored video images which do not provide surgeons an actual depth perception of the scene. In this work, the problem was formulated as synthesizing a stereo image of the monocular (conventional) laparoscope image by incorporating into them the depth information from a 3D CT model. The current method was applied to the laparoscope video at the rate of up to 5 frames per second to visualize its stereo video. Correlation coefficients between the depth maps calculated with our method with those from the shape from shading algorithm were within the range of 0.70 to 0.95 (P <; 0.05).
Keywords :
endoscopes; medical signal processing; surgery; video signal processing; 2D colored video images; 3D CT model; 3D model depth information; correlation coefficients; depth perception; endoscope; laparoscopic surgery; shading algorithm; stereoscopic laparoscopy; Cameras; Computed tomography; Endoscopes; Equations; Hospitals; Mathematical model; Visualization; 2D-3D registration; Laparoscopy; Stereoendoscope;
Conference_Titel :
Bioelectronics and Bioinformatics (ISBB), 2014 IEEE International Symposium on
Conference_Location :
Chung Li
Print_ISBN :
978-1-4799-2769-2
DOI :
10.1109/ISBB.2014.6820904