Energy Subtraction Weight Factor Adjustment for Grid Conditions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional energy subtraction processing techniques in medical imaging do not accurately account for variations in grid use conditions during imaging operations, leading to suboptimal energy subtraction processing results.
Innovation Solution
An energy subtraction processing apparatus and method that adjusts weight factors based on acquired grid information, including the presence, type, and configuration of the grid, to accurately reflect and compensate for grid use conditions during imaging, thereby enhancing the accuracy of constituent image formation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed grid use conditions are used in conventional energy subtraction processing, then the processing is simple and fast, but the accuracy of energy subtraction processing deteriorates when grid conditions vary
Solution Approach 1:
The patent applies dynamics by making the weight factors adjustable rather than fixed. The processing system dynamically adapts weight factors based on actual grid use conditions (presence/absence of grid, grid type, grid ratio), transforming a static processing method into a dynamic one that can accommodate varying imaging conditions while maintaining high accuracy.
Solution Approach 2:
The patent changes the parameter of weight factors in the energy subtraction formula based on grid information. By modifying weight factors according to grid conditions (e.g., using different weight values when grid is present vs. absent, or different grid types), the system achieves accurate processing across diverse conditions without requiring complete system redesign.
2Manufacturing precision
If grid use conditions are not considered in energy subtraction processing, then the processing flow is simple, but the quality of constituent image separation deteriorates
Solution Approach 1:
The patent applies preliminary action by acquiring grid information before performing energy subtraction processing. The system determines grid conditions (presence, type, ratio) in advance and uses this information to pre-calculate appropriate weight factors, ensuring high-quality constituent image separation while keeping the actual processing flow straightforward and automated.
3Measurement precision
If weight factors are adjusted according to grid information, then the accuracy of energy subtraction processing is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary acquisition of grid information and pre-determination of weight factors before the main energy subtraction processing. This preliminary action allows the actual processing to proceed efficiently with ready-to-use weight factors, minimizing the time impact while ensuring high accuracy through condition-based optimization.
Solution Approach 2:
The processing system is designed to automatically acquire grid information and self-adjust weight factors without manual intervention. This self-service capability enables the system to adapt to different grid conditions autonomously, maintaining high processing speed while achieving accurate results through automated parameter optimization.
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
The adjustment of weight factors according to grid use conditions improves the accuracy of energy subtraction processing, resulting in more precise separation of image constituents and enhanced diagnostic image quality by accounting for the effects of scattered radiation and varying grid configurations.
Implementation Method 1
the radiation attenuates due to two effects, i.e. a photoelectric effect and a Compton effect. Part of the radiation having attenuated due to the Compton effect undergoes a change in direction of travel and constitutes scattered ray components
Implementation Method 2
the radiation attenuates due to two effects, i.e. a photoelectric effect and a Compton effect. Part of the radiation having attenuated due to the Compton effect undergoes a change in direction of travel and constitutes scattered ray components
Data Source
AI summary
In energy subtraction processing, grid information representing grid use conditions at the time of imaging operations for a plurality of radiation images of an object is acquired. Weight factors are adjusted in accordance with the grid information, which has been acquired. A weighted addition or subtraction process is performed on corresponding pixels in the plurality of the radiation images of the object by use of the weight factors, which have thus been adjusted. A constituent image representing a predetermined constituent in the object is thus formed.