X-ray Diagnostic Apparatus Comment Selection Automation
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Solution Overview
Problem
In X-ray diagnostic apparatuses, users face operational burdens when entering or selecting comments due to excessive or insufficient choices, leading to increased time and error in selecting appropriate information for image annotation.
Innovation Solution
The apparatus performs extraction processing to narrow down comment alternatives to an appropriate number (approximately ten to twenty) based on examination and treatment information, using image analysis and voice recognition to automatically display relevant options, reducing user input and improving selection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of choices is increased to provide more comprehensive options for users, then the completeness of information selection is improved, but the time required for users to select appropriate choices increases
Solution Approach 1:
The system extracts and displays only the most relevant comment alternatives based on analyzed image characteristics, examination information, and treatment information. This filters out unnecessary options while retaining the most appropriate choices, thereby maintaining completeness of information selection while reducing the number of options users need to review.
Solution Approach 2:
The system performs preliminary analysis of image characteristics, examination information, and treatment information before presenting comment alternatives to users. By pre-processing and ranking the alternatives based on relevance, the system prepares the most appropriate options in advance, allowing users to quickly select from a pre-filtered list rather than searching through all possible options.
2Loss of time
If the number of choices is decreased to simplify user selection, then the selection time is reduced, but the appropriateness of selected information may be compromised
Solution Approach 1:
The system uses feedback from image characteristics, examination information, and treatment information to dynamically adjust and rank the comment alternatives. This feedback mechanism ensures that the most appropriate options are prioritized in the displayed list, maintaining high appropriateness even when the total number of displayed options is limited.
Solution Approach 2:
The system changes the parameters used for selecting and ranking comment alternatives based on the specific context of each image, examination type, and treatment procedure. By adapting the selection criteria to match the specific medical context, the system ensures that the limited number of displayed options are highly relevant and appropriate for that particular situation.
3Adaptability or versatility
If manual comment entry is allowed for flexibility, then the versatility of information input is improved, but the operational time required increases
Solution Approach 1:
The system automatically generates and ranks comment alternatives based on analyzed image characteristics, examination information, and treatment information. This self-service approach provides users with pre-prepared, context-relevant options that require minimal input effort, thereby maintaining flexibility while significantly reducing operational time compared to manual comment entry.
4Ease of operation
If automated comment alternative generation is implemented, then user operational burden is reduced, but system complexity increases
Solution Approach 1:
The system uses a multi-functional processing framework that analyzes image characteristics, examination information, and treatment information using the same underlying architecture. This universal approach allows the system to handle diverse input types and generate appropriate comment alternatives without requiring separate specialized modules for each function, thereby managing system complexity while providing comprehensive automated support.
Data Source
AI summary
In one embodiment, an X-ray diagnostic apparatus generating an object image by detecting X-rays having passed through an object includes: a display configured to display the object image; memory circuitry configured to store feature information items for distinguishing the object image from other images; processing circuitry configured to perform display-order change processing which is processing of changing display order of the feature information items, and to cause the display to display the feature information items subjected to the display-order change processing as alternates; and an input circuit configured to receive input of selecting a feature information item from the displayed feature information items.