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Three-dimensional reconstruction of the digestive wall in capsule endoscopy videos using elastic video interpolation
- Source :
- IEEE transactions on medical imaging. 30(4)
- Publication Year :
- 2010
-
Abstract
- Wireless capsule endoscopy is a revolutionary technology that allows physicians to examine the digestive tract of a human body in the minimum invasive way. Physicians can detect diseases such as blood-based abnormalities, polyps, ulcers, and Crohn's disease. Although this technology is really a marvel of our modern times, currently it suffers from two serious drawbacks: 1) frame rate is low (3 frames/s) and 2) no 3-D representation of the objects is captured from the camera of the capsule. In this paper we offer solutions (methodologies) that deal with each of the above issues improving the current technology without forcing hardware upgrades. These methodologies work synergistically to create smooth and visually friendly interpolated images from consecutive frames, while preserving the structure of the observed objects. They also extract and represent the texture of the surface of the digestive tract in 3-D. Thus the purpose of our methodology is not to reduce the time that the gastroenterologists need to spend to examine the video. On the contrary, the purpose is to enhance the video and therefore improve the viewing of the digestive tract leading to a more qualitative and efficient examination. The proposed work introduces 3-D capsule endoscopy textured results that have been welcomed by Digestive Specialists, Inc., Dayton, OH. Finally, illustrative results are given at the end of the paper.
- Subjects :
- Radiological and Ultrasound Technology
business.industry
Feature extraction
Image processing
Iterative reconstruction
Frame rate
Capsule Endoscopy
Computer Science Applications
law.invention
Gastrointestinal Tract
Image texture
Capsule endoscopy
law
Image Processing, Computer-Assisted
Medicine
Humans
Computer vision
Peristalsis
Artificial intelligence
Electrical and Electronic Engineering
business
Representation (mathematics)
Software
Algorithms
Interpolation
Subjects
Details
- ISSN :
- 1558254X
- Volume :
- 30
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on medical imaging
- Accession number :
- edsair.doi.dedup.....b0eada43cc886bf2d4bb191a2ff2de0c