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Are Current Advances of Compression Algorithms for Capsule Endoscopy Enough? A Technical Review
IEEE Reviews in Biomedical Engineering
|September 30, 2017
Summary
Capsule endoscopy advances gastrointestinal diagnosis but faces limitations. This review explores compression algorithms to improve image quality, frame rate, and reduce bandwidth for wider adoption.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Gastroenterology
Background:
- Capsule endoscopy has revolutionized gastrointestinal tract diagnosis with new techniques.
- Current limitations include low battery life, high bandwidth, poor image quality, and low frame rates.
Purpose of the Study:
- To review compression algorithms for capsule endoscopy systems.
- To address limitations such as image quality, frame rate, bandwidth, and power consumption.
- To suggest future adaptations for compression techniques in endoscopic imaging.
Main Methods:
- Exploration of endoscopic image characteristics.
- Analysis of the strengths and weaknesses of various compression techniques.
- Review of existing literature on capsule endoscopy compression algorithms.
Main Results:
- Identified key limitations hindering widespread capsule endoscopy adoption.
- Highlighted the critical need for efficient, low-cost compression algorithms.
- Evaluated the performance of different compression strategies in the context of endoscopic imaging.
Conclusions:
- Efficient compression algorithms are paramount for overcoming capsule endoscopy limitations.
- Further research into advanced compression techniques is essential for improved diagnostic accuracy and usability.
- This review provides a foundation for future developments in endoscopic image compression.
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