X-Ray Imaging Brightness Control via Equivalent Phantom Thickness
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Solution Overview
Problem
Existing X-ray imaging systems face challenges in maintaining consistent image brightness due to varying attenuation of X-rays by different objects, leading to unclear images and prolonged stabilization times for adjusting X-ray doses.
Innovation Solution
A system and method that utilize a pre-stored correspondence between phantom thicknesses and X-ray performing parameters to quickly update phantom thickness and determine target performing parameters, optimizing image brightness by adjusting X-ray doses based on equivalent phantom thickness and target grayscale.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional automatic brightness stabilization control methods are used to adjust X-ray doses, then image brightness can be maintained, but the stabilization time is prolonged
Solution Approach 1:
The system pre-calculates and stores a correspondence table mapping equivalent phantom thicknesses to optimal X-ray performing parameters (kVp, mA, exposure time) before actual imaging. When imaging, the system directly queries this pre-computed table based on the object's equivalent phantom thickness, eliminating the need for time-consuming real-time iterative adjustments and thereby significantly reducing stabilization time while ensuring consistent image brightness.
Solution Approach 2:
The system creates a simplified representation (equivalent phantom thickness) of the actual object that captures the essential X-ray attenuation characteristics. This equivalent model is then used to quickly determine imaging parameters from the pre-stored correspondence, avoiding the complexity of real-time physical measurements and iterative control while maintaining imaging quality.
2Illumination intensity
If X-ray doses are adjusted for different attenuation degrees, then image brightness can be optimized, but the control process becomes complex and time-consuming
Solution Approach 1:
The system transforms the complex multi-parameter control problem (kVp, mA, exposure time) into a simplified single-parameter query process. By pre-computing the correspondence between equivalent phantom thickness and optimal performing parameters, the system changes the control approach from real-time iterative adjustment to direct table lookup, thereby optimizing image brightness while reducing control process complexity.
Solution Approach 2:
The equivalent phantom thickness serves as an intermediary parameter that bridges the object's physical properties and the X-ray imaging parameters. Instead of directly controlling multiple X-ray parameters based on complex real-time measurements, the system uses this intermediary to simplify the control process while achieving optimal image brightness.
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 allows for rapid adjustment of image brightness, reducing the stabilization time and improving the efficiency of X-ray imaging systems by using a correspondence-based method to update parameters.
Implementation Method 1
different objects (usually patients) to be detected have different abilities to block X-rays, attenuation degrees of X-rays transmitted through the objects to be detected are also different
Data Source
AI summary
Embodiments of the present disclosure may provide a system, a method, and a device for X-ray imaging. The method may include: obtaining a grayscale of a current frame of an object, wherein the current frame is obtained by performing X-ray imaging on the object based on current performing parameters; determining an updated equivalent phantom thickness of the object based on the grayscale of the current frame, the current performing parameters, and a pre-stored correspondence, wherein the pre-stored correspondence reflects dose values corresponding to a plurality of equivalent phantom thicknesses and a plurality of performing parameters; and determining target performing parameters of a next frame of the object based on the updated equivalent phantom thickness, a target grayscale, and the pre-stored correspondence.