Radiography Exposure Control Using Rapid Probe and Scene Analysis
Solution Overview
Problem
Conventional Automatic Exposure Control (AEC) systems in Digital Radiography (DR) imaging face challenges such as impractical default positions, time-consuming manual placement, and resource-intensive image analysis, leading to poor exposure control and increased risk of operator error, especially with varying patient sizes and conditions.
Innovation Solution
A digital radiographic system that uses a reduced exposure level to capture an image, maps exposure control regions, and employs a machine-learning algorithm to calculate and set the x-ray source for diagnostic imaging, allowing for quick and accurate exposure control without the need for additional AEC sensors, thereby adapting to patient anatomy and reducing exposure time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional AEC systems use manual placement of AEC sensors, then exposure control can be achieved, but the process becomes time-consuming and increases operator error risk
Solution Approach 1:
The system automatically identifies anatomy and places AEC sensors without operator intervention. The processor analyzes the scout image to detect anatomical structures and autonomously determines optimal AEC sensor locations, eliminating manual placement while maintaining exposure control accuracy
Solution Approach 2:
The system performs anatomy identification and AEC sensor placement automatically during the scout image acquisition phase, before the actual diagnostic imaging. This preliminary automated setup eliminates time-consuming manual operations while ensuring accurate exposure control is ready in advance
2Reliability
If conventional AEC systems require additional AEC sensors, then exposure measurement is possible, but device complexity and cost increase
Solution Approach 1:
The DR detector panel serves multiple functions: it acts as both the imaging detector and the AEC sensor. The same detector elements that capture the diagnostic image are used to measure exposure, eliminating the need for separate AEC sensors and reducing system complexity
Solution Approach 2:
The system combines the imaging function and exposure measurement function into a single integrated process using the DR detector panel. By merging these functions, the system eliminates additional components while maintaining both diagnostic imaging quality and accurate exposure control
3Productivity
If rapid probe exposure is used, then exposure control speed improves, but image quality at reduced exposure is degraded
Solution Approach 1:
The system uses a reduced-exposure scout image that is intentionally underexposed relative to diagnostic requirements. This partial exposure is sufficient for anatomy identification and AEC sensor placement but not for diagnostic imaging, allowing rapid setup while maintaining the ability to acquire quality diagnostic images at full exposure
Solution Approach 2:
The imaging process is segmented into two distinct phases: a rapid reduced-exposure scout phase for anatomy identification and AEC setup, and a subsequent full-exposure phase for diagnostic imaging. This segmentation allows each phase to be optimized independently - speed for the scout and quality for the diagnostic image
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables efficient and accurate exposure control, reducing operator error and radiation dose, while allowing for rapid image acquisition and adaptability to different patient sizes and conditions, with exposure settings determined within 250 milliseconds.
Implementation Method 1
capturing a reduced exposure DR image of a subject in a DR detector
Data Source
AI summary
A digital radiographic image of a subject is captured using a reduced exposure level of an x-ray source. One or more exposure control regions in the image is mapped and associated with a predetermined exposure level. A difference between the predetermined exposure level setting and the reduced exposure level is used to set a diagnostic exposure level perhaps about twice as high as the reduced exposure level to capture a diagnostic image of the subject.