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Published Articles >> Table of Contents >> Abstract
Sixth IEEE Workshop on Applications of Computer Vision (WACV'02)
p. 304
Viewing Enhancement in Video-Endoscopy
Dan Koppel, University of California
Yuan-fang Wang, University of California
Hua Lee, University of California
Full Article Text:
  
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ACV.2002.1182198
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| Abstract |
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Video-endoscopy (Figure 1), 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 mode 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.
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 Additional Information
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Index Terms- computer-assisted medicine, eight-point algorithm,
endoscopy, feature tracking
Citation:
Dan Koppel, Yuan-fang Wang, Hua Lee,
"Viewing Enhancement in Video-Endoscopy,"
wacv,
p. 304,
Sixth IEEE Workshop on Applications of Computer Vision (WACV'02),
2002
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