DocumentCode :
3220559
Title :
Viewing enhancement in video-endoscopy
Author :
Koppel, Dan ; Wang, Yuan-Fang ; Lee, Hua
Author_Institution :
Dept. of Comput. Sci., California Univ., Santa Barbara, CA, USA
fYear :
2002
fDate :
2002
Firstpage :
304
Lastpage :
308
Abstract :
Video-endoscopy, a mode of minimally invasive surgery, has proven to be significantly less invasive to the patient. However, it creates a much more complex operation environment that requires the surgeon to operate through a video interface. Visual feedback control and image interpretation can be difficult. Poor visual feedback in video-endoscopy prolongs the operation time, increases the risk to the patient, and drives up the cost of health care. It is a major roadblock in replacing the traditional, highly traumatic open surgical procedures with the much less invasive, more patient friendly video-endoscopy, and in training the surgeons to master this new made of operation. Our research objective is thus to design, code, and validate on real images novel image analysis and rectification algorithms to enhance the visual feedback to the surgeon in video-endoscopy.
Keywords :
endoscopes; image enhancement; medical image processing; surgery; computer-assisted medicine; endoscopy; feature tracking; image analysis; image interpretation; minimally invasive surgery; surgical procedures; video interface; video-endoscopy; visual feedback control; Anatomy; Biomedical imaging; Costs; Endoscopes; Feedback control; Image analysis; Instruments; Medical services; Minimally invasive surgery; Surges;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Computer Vision, 2002. (WACV 2002). Proceedings. Sixth IEEE Workshop on
Print_ISBN :
0-7695-1858-3
Type :
conf
DOI :
10.1109/ACV.2002.1182198
Filename :
1182198
Link To Document :
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