X-ray CT Control Device Switching Data Bundling Modes
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Solution Overview
Problem
Photon counting X-ray CT detectors face challenges in real-time data transmission due to the large amounts of data processed, which limits the utilization of energy-specific photon counting and integration methods, making it difficult to balance real-time performance and data accuracy.
Innovation Solution
The X-ray CT apparatus incorporates a control device with processing circuitry that switches between pre-DAS and post-DAS bundling modes, adjusting the number of energy bins and data aggregation to reduce data transmission while maintaining real-time performance and allowing for subsequent detailed analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If photon counting is performed for each energy, then measurement precision is improved, but the amount of data increases making real-time transmission difficult
Solution Approach 1:
The patent segments the energy spectrum into multiple bins and applies different processing strategies to different bins. High-energy bins are processed with finer granularity while low-energy bins are aggregated more coarsely, allowing detailed analysis where needed while reducing overall data volume for real-time transmission.
Solution Approach 2:
The system dynamically adjusts the number of energy bins and bundling strategies based on real-time transmission requirements. The control device can switch between different aggregation levels and adjust bin configurations to balance measurement precision with transmission speed according to operational needs.
2Device complexity
If all X-ray photons are bundled into one, then data transmission is simplified, but the advantage of energy-specific counting is lost
Solution Approach 1:
The patent divides the energy spectrum into multiple bins and applies different processing strategies to different bins. High-energy bins are processed with finer granularity while low-energy bins are aggregated more coarsely, allowing detailed analysis where needed while reducing overall data volume for real-time transmission.
Solution Approach 2:
Different energy bins are treated with different levels of detail based on their characteristics. The system applies local quality processing where high-energy regions maintain fine granularity for material differentiation while lower-energy regions use coarser aggregation, optimizing both precision and transmission efficiency in localized energy ranges.
3Measurement precision
If detailed energy-specific analysis is performed, then measurement precision is improved, but real-time transmission performance deteriorates
Solution Approach 1:
The patent performs preliminary bundling and aggregation of energy bins before data transmission. By pre-processing and consolidating data in the detector system, the amount of data requiring transmission is reduced, allowing detailed analysis to be performed later without compromising real-time transmission performance.
Solution Approach 2:
The system dynamically adjusts the number of energy bins and bundling strategies based on real-time transmission requirements. The control device can switch between different aggregation levels and adjust bin configurations to balance measurement precision with transmission speed according to operational needs.
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 real-time data transmission during high-demand scenarios while allowing for detailed energy-specific analysis post-processing, optimizing both real-time performance and data utilization.
Implementation Method 1
detectors that count the number of X-ray photons for each of energies
Implementation Method 2
bundle the data distinguished in some of a plurality of energy bins, aggregate the collected data and the bundled data
Data Source
AI summary
An X-ray CT apparatus of an embodiment includes a gantry and a control device held by the gantry. The control device includes processing circuitry. The processing circuitry is configured to collect data corresponding to energy of a material, adjust conditions for the data at the time of collecting the data, bundle the data distinguished in some of a plurality of energy bins, aggregate the collected data and the bundled data, and switch between the aggregation of the collected data and the aggregation of the bundled data.


