Light-Field Auto-Collimation for Retrofit X-Ray Imaging
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Solution Overview
Problem
Existing X-ray systems lack automatic collimation capabilities, requiring manual interaction and limiting their retrofitting with advanced auto-collimation features.
Innovation Solution
An apparatus and method utilizing a camera system, machine learning algorithm, and processor to determine a collimation configuration without system integration, enabling automatic collimation by predicting and adjusting the light field geometry using image data and non-image subject data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual collimation configuration is used in existing X-ray systems, then the system can operate with simple hardware, but automatic collimation capability is lost and efficiency is reduced
Solution Approach 1:
The patent introduces an intermediary device (camera system with machine learning algorithm) that captures images of the light field and subject, processes this visual information, and determines collimation settings without requiring direct integration with the X-ray system's internal controls. This intermediary approach enables automatic collimation while maintaining compatibility with existing systems.
Solution Approach 2:
The patent replaces the traditional mechanical/manual collimation adjustment mechanism with an automated vision-based system. Instead of manual manipulation of collimator components, the system uses image processing and machine learning to automatically determine optimal collimation settings, substituting mechanical interaction with computational analysis.
2Measurement precision
If dedicated AI approaches with system integration are used, then auto-collimation accuracy is improved, but the system becomes complex and cannot be retrofitted to existing X-ray systems
Solution Approach 1:
The patent creates a universal solution that can be applied to multiple different X-ray systems without requiring system-specific integration. The camera-based approach with machine learning algorithm serves multiple functions: capturing the light field, identifying the subject, and determining collimation settings, making it adaptable to various imaging systems including X-ray, CT, and MR scanners.
Solution Approach 2:
By using the camera system as an intermediary that operates independently from the X-ray system's internal architecture, the patent enables retrofitting capability. The intermediary processes visual information and outputs collimation recommendations without needing to integrate with the proprietary control systems of different manufacturers.
3Productivity
If manual collimation adjustment is performed, then system hardware remains simple, but time consumption increases and productivity decreases
Solution Approach 1:
The system performs self-service by automatically capturing the light field image, processing it through the machine learning algorithm, and determining the optimal collimation settings without requiring operator intervention. This automates the previously manual task, reducing time consumption and increasing productivity.
Solution Approach 2:
The system performs preliminary action by determining collimation settings before the actual X-ray exposure. The camera captures the light field and subject information in advance, the machine learning algorithm processes this data to predict optimal collimation, and the settings are ready before the imaging procedure begins, eliminating setup time during the exam.
Data Source
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AI summary
An apparatus and a method are provided for determining a collimation configuration in an imaging system. Image data is accessed that is acquired by a two-dimensional (2D) camera of a camera system. The 2D camera has a field of view to capture a scene containing a subject. The image data is obtained prior to the imaging examination of the subject. A machine learning algorithm is applied to the image data to determine a geometry parameter of a target light field of collimation that is expected to be projected onto the subject. The geometry parameter of the light field of collimation is provided for guiding or controlling the adjustment of the geometry of the collimator.