Inter-frame Compression for Medical Imaging Bandwidth Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image processing techniques are insufficient for real-time interactions in medical imaging systems, particularly due to resource limitations in client terminals, which struggle to handle and process high-quality 3D volumetric data rendered by servers.
Innovation Solution
The development of efficient image compression methods and systems that utilize inter-frame redundancy to compress rendered images, allowing for fast transmission from servers to client terminals, even with thin client machines, by encoding residual images and applying techniques like JPEG-LS, JPEG2000, or WMP, and using prediction algorithms for windowing and leveling operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional image processing techniques are used, then client terminals can process images, but real-time interaction is insufficient due to resource limitations
Solution Approach 1:
The patent segments the image processing workload by dividing images into multiple frames and identifying only changed regions between frames. The server performs the complex task of detecting changed regions and generating difference images, while client terminals only need to receive and display these differences. This segmentation allows real-time interaction despite limited client resources.
Solution Approach 2:
The patent extracts only the essential information needed for display by identifying changed regions between consecutive frames and transmitting only these differences to client terminals. Instead of sending complete high-quality images, the system extracts and transmits minimal data (difference images or region indicators), enabling real-time interaction while reducing client processing requirements.
2Measurement precision
If high-quality 3D volumetric data is transmitted, then diagnostic accuracy is improved, but bandwidth requirements increase
Solution Approach 1:
The patent extracts only the changed portions between consecutive frames and transmits these difference images instead of complete high-quality images. By identifying regions that have changed and transmitting only those portions at full resolution, the system maintains diagnostic accuracy for changed areas while dramatically reducing overall data transmission volume.
Solution Approach 2:
The patent applies partial action by transmitting full-quality data only for changed regions while using lower-quality or differential data for unchanged regions. This selective approach ensures high diagnostic accuracy where needed (changed areas) while minimizing total data transmission volume.
Data Source
AI summary
A system and method for rendering images, and performing operations such as windowing and leveling, when the parameters of a client appliance are known and rendering images when the parameters of a client appliance are unknown. The invention also considers the rendering from the client appliance perspective and the server appliance perspective.