Medical Image Processing Device for Spinal Canal Invasion Detection

The patent applies local quality by differentiating the treatment of different regions within the spinal canal. Regions are classified into high-risk and low-risk categories based on their location and characteristics. The processing circuitry applies different emphasis levels to different regions, providing enhanced visualization for high-risk areas while reducing emphasis on low-risk areas, thereby improving both detection accuracy and reducing noise without sacrificing detection speed.

The patent implements local quality by assigning different visual emphasis levels to different regions based on their clinical significance. The processing circuitry identifies high-risk regions and applies enhanced visualization techniques specifically to these areas, while reducing emphasis on low-risk regions. This creates an information hierarchy that maintains comprehensive coverage while making clinically significant regions stand out prominently.

The patent applies local quality by selectively emphasizing depth information based on region classification. The processing circuitry displays depth information with enhanced visualization for high-risk regions while suppressing or reducing the display of depth information for low-risk regions. This approach provides comprehensive depth information where clinically relevant while minimizing noise and false positives in low-risk areas.