Photon-Counting CT Image Reconstruction With Weighted Energy Bins
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Solution Overview
Problem
Photon counting CT apparatuses face limitations in processing speed for real-time image observation due to the computational demands of spectral reconstruction techniques.
Innovation Solution
An X-ray CT apparatus that discriminates X-ray photons by energy bands and adjusts count data using relative weighting factors to reduce calculation processing, enabling faster image generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spectral reconstruction technique is used to generate reconstructed images, then image quality and material discrimination are improved, but processing speed deteriorates
Solution Approach 1:
The patent applies partial action by selectively using spectral reconstruction only for specific energy bins rather than processing all bins. The system determines which energy bins require spectral reconstruction based on predetermined conditions, thereby improving image quality where needed while reducing overall processing time by skipping spectral reconstruction for other bins.
Solution Approach 2:
The patent changes the parameter of processing scope by introducing a selection mechanism that determines which energy bins undergo spectral reconstruction. This parameter change allows the system to adjust the balance between image quality and processing speed dynamically, enabling real-time observation when needed while maintaining spectral reconstruction capabilities when required.
2Measurement precision
If all energy bins are processed with spectral reconstruction, then material discrimination is improved, but calculation processing time increases
Solution Approach 1:
The patent applies partial action by processing only a subset of energy bins with spectral reconstruction rather than all bins. The system determines which bins require full spectral processing based on predetermined conditions, thereby maintaining material discrimination capability for critical bins while reducing overall calculation processing time by skipping spectral reconstruction for less critical bins.
Solution Approach 2:
The patent extracts the spectral reconstruction processing from all energy bins and applies it only to selected bins that meet predetermined conditions. This extraction approach separates the computationally intensive spectral reconstruction from the routine processing of other bins, thereby reducing total processing time while maintaining material discrimination where most needed.
3Measurement precision
If spectral reconstruction is applied to all bins, then image completeness is improved, but real-time observation capability deteriorates
Solution Approach 1:
The patent applies partial action by implementing spectral reconstruction only for selected energy bins rather than all bins. This selective approach ensures that image completeness is maintained for the most critical information while enabling real-time observation capability by reducing the overall processing burden on the system.
Solution Approach 2:
The patent introduces dynamic adaptability by allowing the system to adjust which energy bins undergo spectral reconstruction based on predetermined conditions. This dynamic approach enables the system to optimize between image completeness and real-time observation capability by flexibly selecting which bins to process based on current operational requirements.
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 the generation of reconstructed images in reduced time, facilitating real-time image observation and improved visibility of specific image components.
Implementation Method 1
an X-ray detector discriminates and collects photons for each energy band with respect to energy bins
Data Source
AI summary
An X-ray CT apparatus includes processing circuitry. The processing circuitry acquires at least first count data and second count data having different energy bands as count data of X-ray photons detected by an X-ray detector, generates adjusted count data based on relative weighting factors between the first count data and the second count data, and reconstructs the adjusted count data.