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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Burkhardt, M.R. Soper, T.D. Woon Jong Yoon Seibel, E.J. |
| Copyright Year | 1996 |
| Abstract | During cystoscopy, the urologist manually steers a cyst scope inside a patient's bladder to visually inspect the inner surface. Cystoscopies are performed as part of surveillance for bladder cancer, making it the most expensive cancer to treat over a patient's lifetime. An automated bladder scanning system has been devised to reduce workload and cost by relieving the urologist from performing surveillance. Presented here is a proof-of-concept apparatus that controls the motion of a miniature flexible endoscope. Image-based feedback is used to adjust the endoscope's movement so that captured images overlap with one another, ensuring that the entire inner surface of the bladder is imaged. Within a bladder phantom, the apparatus adaptively created and followed a spherical scan pattern comprised of 13 individual latitudes and 508 captured images, while accepting between 60% and 90% image overlap between adjacent images. The elapsed time and number of captured images were sensitive to the apparatus's placement within the phantom and the acceptable image overlap percentage range. A mosaic of captured images was generated to validate comprehensive surveillance. Overall, a robotically controlled endoscope used in conjunction with image-based feedback may permit fully automated and comprehensive bladder surveillance to be conducted without direct clinician oversight. |
| Starting Page | 366 |
| Ending Page | 373 |
| Page Count | 8 |
| File Size | 707347 |
| File Format | |
| ISSN | 10834435 |
| Volume Number | 19 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Endoscopes Bladder Surveillance Trajectory Robots Servomotors Image edge detection robotic Adaptive control bladder endoscope |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications |
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