An ultra-low-power image compressor for capsule endoscope.

Area of Science:

• Medical Imaging
• Biomedical Engineering
• Gastroenterology

Background:

• Gastrointestinal (GI) endoscopy is crucial for diagnosing small intestine diseases like Crohn's and celiac disease.
• Wireless capsule endoscopes improve patient comfort but face challenges with image resolution and power consumption.
• Image compression is essential for capsule endoscopes to manage power dissipation during high-resolution imaging.

Purpose of the Study:

• To develop an ultra-low-power image compression processor for capsule endoscopes.
• To address the trade-offs between battery life, performance, and image quality in swallowable imaging capsules.
• To overcome limitations of existing compression techniques that cause image distortion or high power consumption.

Main Methods:

• Developed a simplified, scalable compression architecture for capsule endoscopes.
• Focused on reducing computational load while preserving image integrity for medical diagnosis.
• Optimized for ultra-low power consumption suitable for battery-operated devices.

Main Results:

• The developed video compressor utilizes only 31 K gates.
• Achieved image compression reducing video size by at least 75%.
• Operates at 2 frames per second with a power consumption of 14.92 mW.

Conclusions:

• The GICam processor enables efficient image compression for capsule endoscopy.
• This technology balances high compression ratios with low power demands and minimal image distortion.
• Offers a viable solution for enhancing the performance and diagnostic utility of capsule endoscopes.