Medical Image Linking via Specification Extraction
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Solution Overview
Problem
Conventional methods for linking medical image data within enhanced image data require receiving the entire enhanced image data, leading to increased communication traffic and decreased efficiency in medical practices, as they rely on file names that do not exist within the enhanced image data, necessitating the transfer of unnecessary data.
Innovation Solution
A system and method for setting a link to medical image data within enhanced image data, using image specification information to specify and extract only the required medical image data, reducing the need for entire data transfer and enhancing communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional linking method using file names is applied to enhanced image data, then linking can be established, but the entire enhanced image data must be received leading to increased communication traffic
Solution Approach 1:
The patent extracts only the necessary image data from the enhanced image file based on image specification information (such as frame numbers or time stamps) embedded in the link data, rather than transferring the entire enhanced image file. This extraction approach maintains reliable linking while significantly reducing the quantity of data transmitted over the network.
Solution Approach 2:
The patent segments the enhanced image data into individual extractable image data units using image specification information. Each linked image can be independently extracted and transferred without requiring the complete enhanced image dataset, thereby reducing communication traffic while preserving linking functionality.
2Reliability
If the entire enhanced image data is received to ensure accurate linking, then linking reliability is maintained, but time consumption increases
Solution Approach 1:
The system extracts only the specific image data required for the interpretation report using image specification information stored in the link data. This selective extraction eliminates the time-consuming step of receiving and processing entire enhanced image files, while still ensuring accurate linking to the correct medical images.
Solution Approach 2:
Instead of receiving the complete enhanced image data set, the system performs partial action by receiving only the specific image data portions that are actually needed for the interpretation report. This partial reception approach maintains linking accuracy while significantly reducing the time required to display medical images.
3Device complexity
If conventional linking method is used with enhanced image data, then file-based linking is simple, but terminal resources are overwhelmed by large data volume
Solution Approach 1:
The patent implements extraction of only the necessary image data portions from enhanced image files based on embedded image specification information. This approach maintains the simplicity of file-based linking mechanisms while preventing terminal resources from being overwhelmed by reducing the data volume that needs to be processed and stored at the terminal.
Solution Approach 2:
The system segments the large enhanced image data into smaller, manageable extractable image data units using image specification information. This segmentation allows the linking mechanism to remain simple while the actual data transferred and processed at terminals is significantly reduced, preventing resource overload.
4Quantity of substance
If image specification information is used to extract specific medical image data, then communication traffic is reduced, but the system complexity increases
Solution Approach 1:
The patent uses image specification information (such as frame numbers, time stamps, or sequence identifiers) as an intermediary mechanism to bridge the link data and the enhanced image data. This intermediary allows the system to efficiently extract specific image data without requiring complex processing, thereby reducing communication traffic while adding minimal system complexity.
Solution Approach 2:
The image specification information is prepared in advance and embedded within the link data during the report creation process. This preliminary action ensures that when image data needs to be extracted, the system already has the necessary specification information ready, eliminating the need for complex real-time analysis and reducing both communication traffic and system complexity.
Data Source
AI summary
Enhanced image data is stored, and medical image data contained in the enhanced image data and a screen for creating an interpretation report are displayed on a monitor. In response to a linking operation, link data containing image specification information specifying medical image data to link in the enhanced image data is generated and included into data of the interpretation report. In response to an operation of requesting linked medical image, based on the link data, medical image data indicated by the image specification information within the enhanced image data is specified from the enhanced image data, and the specified medical image data is outputted to a requesting destination of the linked medical image. Thus, a link can be set to medical image data that is one data element within enhanced image data, and only a linked data row can be extracted and read from the enhanced image data.