Patient Attenuation Information Metric for CT Imaging Optimization
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Solution Overview
Problem
Current medical imaging systems rely on patient characteristics like weight and gender to determine imaging parameters, which are indirect and may not accurately represent the patient's attenuation, leading to suboptimal diagnostic outcomes and image quality.
Innovation Solution
The development of a method to derive and utilize scanner-independent patient-specific x-ray attenuation information (PAI) to determine optimal imaging parameters, such as tube current and contrast load, improving image quality and diagnostic accuracy across various imaging modalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If patient characteristics like weight and gender are used to determine imaging parameters, then the imaging parameters can be determined using simple measurements, but the accuracy of representing patient attenuation is poor
Solution Approach 1:
The system performs a preliminary scout scan before the main imaging procedure to obtain patient attenuation information. This preliminary measurement allows the determination of optimal imaging parameters (tube current, contrast load) in advance, improving accuracy without adding complexity to the main imaging process
Solution Approach 2:
The patent introduces Patient Attenuation Information (PAI) as an intermediary metric that bridges the gap between simple patient characteristics and accurate attenuation representation. PAI serves as a mediator that can be derived from scout scans and used to determine imaging parameters, providing both accuracy and scanner independence
2Adaptability or versatility
If scanner-dependent metrics are used for determining imaging parameters, then the measurements can be obtained from available scanner data, but the results are not comparable across different scanner types
Solution Approach 1:
The patent develops a universal PAI metric that functions across different scanner types and modalities. The metric is designed to be scanner-independent while maintaining accuracy, allowing the same approach to be applied universally in CT, PET/CT, and other imaging systems without loss of precision
Solution Approach 2:
The system transforms scanner-dependent raw attenuation data into a standardized PAI parameter that is independent of scanner type. By changing the parameter representation from scanner-specific measurements to a normalized PAI metric, the system achieves both scanner independence and measurement accuracy
3Measurement precision
If higher tube current is used to improve image quality, then image quality increases, but the radiation dose to the patient increases
Solution Approach 1:
The system uses PAI derived from scout scans as feedback to automatically determine the optimal tube current for each patient. This feedback mechanism allows the system to adjust tube current based on actual patient attenuation characteristics, improving image quality while minimizing radiation dose through precise, patient-specific parameter selection
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 use of PAI enhances image quality, increases diagnostic accuracy, and allows for dose reduction by providing accurate, patient-specific attenuation data, independent of scanner type, improving medical and non-medical imaging applications.
Implementation Method 1
a system includes an x-ray source, an x-ray detector positioned to receive x-rays emitted from the source
Data Source
AI summary
A computer readable medium is embedded with a program configured to receive or generate a PAI, and/or use the PAI in a diagnostic application.