X-ray Image Review via 3D to 2D Rendering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern X-ray based aviation threat detection systems generate large 3-dimensional (3D) volumetric image files that are over 400 Megabytes in size, posing challenges for remote image review due to insufficient bandwidth and graphics processing capabilities on devices like mobile phones and tablets, leading to networking costs and time delays.
Innovation Solution
A system that transforms 3D image data into smaller 2D images using volume rendering algorithms, allowing for real-time streaming and display on various devices via network connections, utilizing image renderers close to the data source and managing resources dynamically to maintain performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D volumetric image files are transmitted directly for remote review, then image quality and detail are preserved, but network bandwidth requirements increase and transmission time delays occur
Solution Approach 1:
The system segments the 3D volumetric image data into multiple 2D image slices through volume rendering. Each 2D slice represents a cross-section of the 3D volume at a specific depth plane. This segmentation allows transmission of smaller 2D images instead of large 3D datasets, reducing network bandwidth requirements and transmission time while preserving the ability to review detailed image information through sequential slice examination.
Solution Approach 2:
The system transforms data from three-dimensional volumetric representation to two-dimensional image representation. By rendering 3D CT data as 2D slices, the system changes the dimensional representation to reduce data size for network transmission. The 3D information is preserved through the slice structure, allowing reconstruction of the volumetric view if needed, thus achieving dimensionality reduction without complete information loss.
2Productivity
If dedicated Gbit network connections and high-performance GPUs are used for image transmission and display, then image review performance is maintained, but networking costs increase
Solution Approach 1:
The system creates 2D image copies from the original 3D volumetric data through volume rendering. These 2D slices serve as representative copies that convey the essential diagnostic information from the 3D dataset. By working with these smaller 2D copies rather than the full 3D data, the system maintains adequate image review performance while significantly reducing network bandwidth and hardware requirements, thereby lowering networking costs.
Solution Approach 2:
The system changes the data representation parameters by converting 3D volumetric data into 2D image format. This parameter transformation reduces the data size from megabytes to kilobytes per image, enabling transmission over standard network connections rather than requiring dedicated Gbit connections. The rendering parameters control the quality and detail level, allowing optimization between image quality and data size.
3Loss of information
If large 3D image data files are transferred to remote workstations, then complete image information is available, but network infrastructure complexity increases
Solution Approach 1:
The system extracts 2D image slices from the 3D volumetric data through volume rendering. By taking out only the necessary 2D representations rather than transferring the complete 3D dataset, the system reduces the data transfer requirement. The extracted 2D slices contain sufficient diagnostic information for review, eliminating the need for complex network infrastructure designed to handle large 3D file transfers while maintaining information completeness for the intended review function.
Data Source
AI summary
One or more examples relate to display-based review of image data. A method includes: setting an image renderer at least partially based on a display configuration for a display system; generating, via the set image renderer, 2D image data of a 2D image representing an item at least partially based on 3D image data of a 3D image representing the item, wherein the 3D image data of the 3D image representing the item is X-ray image data; and streaming, via a network connection, the 2D image data to the display system.