Radiographic Image Processing Scattered Radiation Removal
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing radiographic image processing methods struggle to accurately remove scattered radiation without a grid, leading to suboptimal image quality due to mismatched imaging conditions and lack of accurate body type information, especially in portable radiography settings where actual imaging conditions are not readily available during image processing.
Innovation Solution
A radiographic image processing device and method that acquires virtual grid characteristics and corrects imaging conditions based on body type information, allowing for precise removal of scattered radiation by estimating body thickness distribution and adjusting imaging parameters accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a physical grid is used to remove scattered radiation, then image contrast is improved, but device complexity and operator burden increase
Solution Approach 1:
The patent replaces the mechanical grid system with an image processing system that uses frequency domain filtering. Instead of physically blocking scattered radiation with a grid, the system captures the image without a grid and then removes scattered radiation components through digital signal processing in the frequency domain, thereby eliminating the need for complex grid arrangement operations.
Solution Approach 2:
The patent creates a virtual model of scattered radiation distribution based on imaging conditions and subject information, then uses this model to guide the removal process. By copying the characteristics of scattered radiation into a computational model, the system can accurately remove scattered components without needing physical grids.
2Ease of operation
If imaging is performed without a grid, then operator burden is reduced, but scattered radiation removal accuracy deteriorates
Solution Approach 1:
The patent performs preliminary estimation of scattered radiation distribution based on imaging conditions and subject information before the actual image processing. This preliminary action creates a reference model that guides the subsequent scattered radiation removal process, ensuring high accuracy even when no physical grid is used during imaging.
Solution Approach 2:
The system uses feedback from imaging conditions and subject characteristics to continuously refine the scattered radiation removal process. By monitoring imaging parameters and adjusting the frequency domain filtering accordingly, the system maintains high removal accuracy without requiring physical grids.
3Object-generated harmful factors
If frequency domain filtering is applied to remove scattered radiation, then scattered radiation removal is achieved, but image quality may deteriorate due to loss of low-frequency components
Solution Approach 1:
The patent applies different processing strategies to different frequency components and spatial regions. Instead of uniformly filtering all low-frequency components, the system selectively removes scattered radiation components while preserving important low-frequency information through adaptive filtering based on local image characteristics and the estimated scattered radiation distribution.
Solution Approach 2:
The system performs partial removal of low-frequency components by selectively targeting only the scattered radiation portions rather than removing all low-frequency content. This partial action approach maintains necessary image information while effectively eliminating scattered radiation artifacts.
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 high-quality radiographic images by accurately removing scattered radiation, reducing operator burden, and improving image clarity without the need for physical grids, even in scenarios where actual imaging conditions are not initially known.
Implementation Method 1
the radiation is scattered in the subject and the scattered radiation (hereinafter, also referred to as a scattered ray) causes a reduction in the contrast of the acquired radiographic image
Data Source
AI summary
A radiographic image captured by irradiating a subject with radiation is acquired. A scattered radiation removal unit removes a scattered component from the radiographic image using at least imaging conditions. A correction information acquisition unit acquires correction information for correcting the degree of removal of the scattered component and changes the imaging conditions on the basis of the correction information. The scattered radiation removal unit performs a process of removing the scattered component from the radiographic image on the basis of the changed imaging conditions.


