DocumentCode :
3362533
Title :
A novel 3D surface construction approach: Application to three-dimensional endoscopic data
Author :
Ben-Hamadou, Achraf ; Daul, Christian ; Soussen, Charles ; Rekik, Ahmed ; Blondel, Walter
Author_Institution :
Centre de Rech. en Autom. de Nancy, Nancy-Univ., Vandoeuvre-lés-Nancy, France
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
4425
Lastpage :
4428
Abstract :
Video-endoscopy is the standard clinical procedure for visual exploration of internal walls of hollow organs. For the bladder, the lesion diagnosis is complex because the endoscopic images are bi-dimensional and cover only small bladder areas. 3D endoscopes, based on stereoscopic active vision principles, were recently proposed and validated. This paper presents a 3D reconstruction algorithm using 2D texture images and a few 3D points located on the internal wall surfaces provided by such endoscopes. The algorithm constructs a 3D panoramic surface using the 3D reconstruction method guided by 2D image registration. We show on realistic bladder phantoms that the algorithm is able to reconstruct 3D points and surfaces with a sub-millimetre accuracy.
Keywords :
biological organs; computer vision; endoscopes; image reconstruction; image registration; medical image processing; stereo image processing; 2D image registration; 2D texture image; 3D panoramic surface; 3D surface reconstruction approach; bladder; clinical procedure; endoscopic images; hollow organs; internal walls; lesion diagnosis; stereoscopic active vision; three-dimensional endoscopic data; video-endoscopy; visual exploration; Accuracy; Bladder; Endoscopes; Image reconstruction; Phantoms; Surface reconstruction; Three dimensional displays; 3D surface reconstruction; bladder; image registration; three-dimensional endoscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5653276
Filename :
5653276
Link To Document :
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