Encoding Medical Images via Bit Segmentation for Web Compatibility
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Solution Overview
Problem
Current medical imaging technologies face challenges in displaying high-quality images on mobile devices due to the lack of support for specialized access methods and native formats, as most devices are configured for 8-bit image files, leading to issues with data loss and integration with healthcare workflows.
Innovation Solution
A system and method for encoding high-quality medical images into multiple 8-bit files by dividing pixel bits and padding to maintain 8 bits, allowing for compression and transmission via standard web protocols, enabling display on common computing devices using standard web browsers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If high quality medical images with 16-bit depth are transmitted using standard web protocols, then accessibility on common devices is improved, but image quality deteriorates due to lossy compression
Solution Approach 1:
The patent divides the 16-bit medical image into multiple 8-bit segments, where each segment represents a specific bit depth range (e.g., first 8 bits, next 8 bits). Each segment is then compressed separately using standard web protocols. This segmentation allows the system to maintain compatibility with 8-bit display devices while preserving the full 16-bit information across multiple segments, thereby resolving the contradiction between accessibility and image quality.
2Loss of information
If specialized software is deployed to handle 16-bit medical image formats, then image quality is maintained, but device complexity and deployment cost increase
Solution Approach 1:
The patent converts 16-bit medical images into multiple 8-bit segments that can be processed and displayed by standard web browsers and common computing devices without requiring specialized software. By making the image data universal to standard 8-bit formats, the system eliminates the need for custom software deployment while maintaining image quality through proper segmentation and reconstruction techniques.
3Quantity of substance
If 16-bit medical images are converted to 8-bit formats for web transmission, then file size is reduced and accessibility is improved, but image quality is lost
Solution Approach 1:
The patent segments the 16-bit image data into multiple 8-bit files, each containing a portion of the original bit depth information. This segmentation reduces the bit depth of individual files (improving compatibility and reducing per-file size) while preserving the complete 16-bit information across the set of segmented files. The image quality is maintained because all segments are transmitted and can be recombined to reconstruct the full-resolution image.
4Loss of information
If custom compression algorithms are used for 16-bit images, then image quality is preserved, but ease of operation and integration deteriorate
Solution Approach 1:
The patent uses standard web compression algorithms on segmented 8-bit image data, making the solution compatible with existing web infrastructure and browsers. This universal approach eliminates the need for custom compression algorithms while maintaining image quality through proper segmentation. The workflow integration is improved because standard web protocols and browsers can handle the compressed segments without requiring custom software or complex integration.
Data Source
AI summary
A system for encoding web accessible high quality medical images (5) includes one or more processors (45) and one or more servers (14). The one or more processors a reprogrammed to divide (54) the high quality medical image into multiple 8 bit files (12) by bit location in each pixel of the high quality medical image (5) and padding bits in each file to total 8 bits where the divided number of bits from the high quality medical is less than 8 bits. The one or more processors compress (56) each 8 bit file. The one or more servers (14) are configured to send the compressed files in response to a hyper-text transport protocol(HTTP) request for the high quality medical image (5).


