Medical Image Compression Rate Adjustment
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Solution Overview
Problem
Conventional data compression techniques for medical image files achieve limited compression ratios due to the need to maintain high fidelity, resulting in large storage and transmission requirements, and often result in unacceptable loss of image quality.
Innovation Solution
Adjusting the compression rate based on the image source and characterization, such as anatomical content, purpose of study, and diagnostic value, using a computer processing apparatus to select an optimal compression rate that balances file size reduction with image fidelity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If lossy compression techniques are used to achieve higher compression ratios, then file size is reduced, but image quality degrades
Solution Approach 1:
The patent implements dynamic adjustment of compression rate based on image characteristics. The system analyzes image content and automatically selects appropriate compression parameters, transitioning from static to dynamic compression control. This allows the compression rate to adapt to different image regions and content types, achieving higher overall compression while maintaining critical image quality.
Solution Approach 2:
The patent applies different compression rates to different regions of the image based on their importance. Critical diagnostic regions are compressed at lower rates to preserve quality, while less important areas are compressed at higher rates. This regional differentiation resolves the contradiction by maintaining necessary image quality in key areas while achieving overall file size reduction.
2Manufacturing precision
If lossless compression techniques are used to maintain image quality, then image fidelity is preserved, but compression ratio is limited and file sizes remain large
Solution Approach 1:
The patent changes compression parameters based on image characteristics, diagnostic value, and anatomical content. By dynamically adjusting compression rate, quality metrics, and algorithm parameters according to specific image properties, the system achieves better compression ratios while maintaining sufficient fidelity for medical diagnosis, resolving the limitation of fixed lossless compression approaches.
3Loss of energy
If high compression rates are applied to reduce storage and transmission costs, then resource consumption is reduced, but diagnostic accuracy may be compromised
Solution Approach 1:
The patent incorporates feedback mechanisms that analyze image characteristics, diagnostic value, and anatomical content to dynamically adjust compression rates. This feedback loop ensures that compression decisions are based on actual image properties rather than fixed parameters, maintaining diagnostic accuracy while optimizing compression. The system continuously monitors and adjusts compression to prevent degradation that would compromise diagnostic reliability.
Solution Approach 2:
The system transitions from static compression to dynamic compression control based on real-time analysis of image properties. By continuously adapting compression parameters to match image characteristics and diagnostic requirements, the system achieves cost-effective compression without compromising the reliability needed for accurate medical diagnosis.
Data Source
AI summary
A compression rate is selected for a data file representing an image wherein an image source and an image characterization is identified. Selection of a compression rate can be based upon the image source and the image characterization. The image source can be medical imaging device such as x-ray, CT scan, MRI, mammogram, sonogram, or other types of images. The image characterization can be an anatomical content of the image, a purpose of study of the image, or a diagnostic value of the source of the image.