Paper Info
Title
Viewing Enhancement in Video-Endoscopy
Abstract
Video-endoscopy (Figure 1), a mode of minimallyinvasive surgery, has proven to be significantly less invasive to thepatient. However, it creates a much more complex operationenvironment that requires the surgeon to operate through a videointerface. Visual feedback control and image interpretation can bedifficult. Poor visual feedback in video-endoscopy prolongs theoperation time, increases the risk to the patient, and drives up thecost of health care. It is a major roadblock in replacing thetraditional, highly traumatic open surgical procedures with themuch less invasive, more patient friendly video-endoscopy, and intraining the surgeons to master this new mode of operation. Ourresearch objective is thus to design, code, and validate on realimages novel image analysis and rectification algorithms toenhance the visual feedback to the surgeon in video-endoscopy.
Year
DOI
Venue
2002
10.1109/ACV.2002.1182198
WACV
Keywords
Field
DocType
realimages novel image analysis,new mode,visual feedback control,poor visual feedback,ourresearch objective,image interpretation,complex operationenvironment,video-endoscopy prolongs,viewing enhancement,visual feedback,patient friendly video-endoscopy,feedback control,health care,biomedical imaging,surgery,indexing terms,anatomy,eight point algorithm,image analysis
Health care,Computer vision,Eight-point algorithm,Medical imaging,Computer science,Endoscopy,Artificial intelligence,Real image,Feature tracking
Conference
ISBN
Citations 
PageRank 
0-7695-1858-3
2
0.54
References 
Authors
0
3
Name
Order
Citations
PageRank
Dan Koppel151.75
Yuan-Fang Wang2835137.72
Hua Lee310911.38