X-Ray Image Orientation Using User-Specified Display Standardization
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Solution Overview
Problem
Existing X-ray image orientation methods are subjective and require manual adjustments, leading to high effort and inconsistent results, which complicates diagnosis and comparability across different images.
Innovation Solution
A computer-implemented method that uses orientation specification information to automatically adjust the display orientation of X-ray images based on user input, allowing for standardization across a user group or cohort, utilizing trained classification functions and machine learning to determine optimal orientations and annotations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual orientation adjustment is used, then the diagnosing person can adapt the image to their subjective preference, but the effort and time required increases significantly
Solution Approach 1:
The system performs automatic orientation adjustment using analysis functions that autonomously determine the optimal display orientation based on anatomical structures and examination type, eliminating the need for manual user intervention while still achieving adaptive orientation
Solution Approach 2:
The system changes the orientation parameter automatically by analyzing image characteristics and examination metadata, transforming the manual adjustment process into an automated parameter optimization process
2Ease of operation
If manual orientation adjustment is used, then the user can customize the display, but the comparability and consistency of different images deteriorates
Solution Approach 1:
The system uses analysis functions to evaluate image characteristics and automatically determine optimal orientation, providing consistent feedback-based orientation decisions that ensure comparability across different images while maintaining appropriate customization
Solution Approach 2:
The orienting function serves multiple purposes: it maintains consistency for comparability across images while also adapting to specific examination types and anatomical regions, achieving both standardization and customization through a single automated system
3Productivity
If automatic orienting function is applied, then the processing speed increases, but the adaptability to specific user preferences decreases
Solution Approach 1:
The system autonomously determines optimal orientation based on anatomical analysis and examination metadata, achieving both high processing speed and appropriate adaptability without requiring manual user input
Solution Approach 2:
The system automatically optimizes orientation parameters by analyzing image characteristics and examination type, transforming subjective preference adjustment into an objective parameter optimization process that maintains both speed and appropriateness
Data Source
AI summary
One or more example embodiments relates to a computer-implemented method for operating an image processing device with a display device, an input device and a controller, the method comprising for processing an X-ray image for display on the display device, applying at least one orienting function which adjusts a display orientation for the display of the X-ray image to the X-ray image by the controller; establishing at least one orientation specification information item based on a user input made via the input device; and selecting the display orientation using the orienting function and the orientation specification information item.