Photon-Counting CT Scanning Parameters from Attenuation Data
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Solution Overview
Problem
Current photon-counting computed tomography (PCCT) systems face challenges in optimizing imaging quality and dose reduction due to the dependence on appropriate bin thresholds and energy spectrum parameters, which are not adequately addressed by existing methods.
Innovation Solution
A system and method for determining scanning parameters, including energy bin thresholds and non-energy spectral parameters, such as tube voltage and gantry speed, based on the target count of energy bins and attenuation information, to optimize clinical imaging results while minimizing scanning dose.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual optimization of bin thresholds and energy spectrum parameters is used, then imaging quality can be improved, but the workflow complexity and time consumption increase
Solution Approach 1:
The system performs self-optimization by automatically determining bin thresholds and energy spectrum parameters based on patient-specific attenuation information and imaging requirements, eliminating the need for manual optimization while achieving optimal imaging quality
Solution Approach 2:
The system dynamically adjusts multiple parameters including bin thresholds, tube voltage, and gantry speed based on calculated attenuation information and imaging requirements, transforming manual parameter optimization into automated parameter adaptation
2Manufacturing precision
If higher tube voltage and longer integration time are used, then imaging quality improves, but radiation dose increases
Solution Approach 1:
The system optimizes the balance between tube voltage, integration time, and radiation dose by calculating patient-specific attenuation information and determining the minimum necessary exposure parameters to achieve diagnostic quality images
Solution Approach 2:
The system applies partial action by using only the necessary tube voltage and integration time duration required to achieve adequate image quality, avoiding excessive radiation exposure while maintaining diagnostic capability
3Adaptability or versatility
If multiple energy bins with different thresholds are used, then material composition analysis capability improves, but the complexity of parameter optimization increases
Solution Approach 1:
The system automatically determines optimal bin thresholds and energy spectrum parameters for multi-material analysis based on patient attenuation information, eliminating the need for manual optimization of multiple parameters while maintaining material composition analysis capability
Solution Approach 2:
The system segments the energy spectrum into multiple bins with automatically determined thresholds, allowing material composition analysis while simplifying parameter optimization through automated threshold selection based on attenuation information
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 proposed method enhances image quality and simplifies workflow by intelligently determining scanning parameters, ensuring consistent photon counts across energy bins and adapting non-energy spectral parameters for improved diagnostic accuracy and reduced radiation exposure.
Implementation Method 1
a photon-counting computed tomography (PCCT)
Implementation Method 2
the PCCT may not only collect photon numbers through energy bins, but also adjust different thresholds for each bin
Data Source
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AI summary
A method, system (100, 200), and device for determining scanning parameters of computer tomography. The method may include: obtaining relevant information of a target object and one or more reference scanning parameters in a scanning parameter set (810); determining attenuation information of the target object based on the relevant information (820); and determining one or more target scanning parameters in the scanning parameter set based on the one or more reference scanning parameters and the attenuation information (830).