CT Scanner Parameter Optimization for Image Quality and Dose
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Solution Overview
Problem
Current CT scanning technologies face challenges in optimizing scanning parameters to balance image quality and X-ray irradiation dose, where low image quality is unsuitable for diagnosis and high doses are harmful to patients.
Innovation Solution
A method and device for optimizing CT scanning parameters by acquiring reference information samples, grouping them based on subject information and scanning protocols, and adjusting scanning parameters to achieve optimal image quality while reducing X-ray irradiation dose, using techniques such as adjusting tube current, voltage, and pitch to calculate a target scanning parameter value and corresponding irradiation dose.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high X-ray irradiation dose is used for scanning, then image quality is improved, but harmful effects to the subject increase
Solution Approach 1:
The system dynamically adjusts multiple scanning parameters (tube voltage, tube current, pitch, rotation speed) based on subject information such as body size and scanning region. By changing these parameters adaptively, the system optimizes the balance between image quality and irradiation dose, ensuring diagnostic quality while minimizing harmful radiation exposure to the subject.
2Object-affected harmful factors
If low X-ray irradiation dose is used for scanning, then harmful effects to the subject are reduced, but image quality deteriorates
Solution Approach 1:
The system compensates for lower irradiation doses by optimizing multiple parameters simultaneously. When dose is reduced, the system adjusts tube voltage, tube current, pitch, and rotation speed to maintain sufficient image quality for clinical diagnosis, preventing deterioration while minimizing radiation harm.
Solution Approach 2:
The scanning parameters are dynamically adjusted based on real-time subject information and scanning conditions. The system continuously optimizes the parameter combination to achieve the lowest possible dose while maintaining diagnostic image quality, making the dose adaptation dynamic rather than static.
3Measurement precision
If scanning parameters are optimized for different subject information, then image quality suitability is improved, but system complexity increases
Solution Approach 1:
The system manages complexity by systematically varying multiple parameters (tube voltage, tube current, pitch, rotation speed) based on subject characteristics. This structured parameter adjustment approach allows the system to handle different subject information without becoming unmanageably complex, as each parameter change is purposefully linked to specific quality requirements.
Solution Approach 2:
The optimization process is segmented into distinct functional modules: acquiring subject information, determining quality requirements, selecting parameter combinations, and executing scans. This segmentation of the optimization process reduces system complexity by organizing the multifaceted parameter adjustment into manageable, modular components.
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 reduced X-ray irradiation while ensuring image quality suitable for clinical diagnosis, accommodating different body sizes and scanning protocols, and iteratively refining scanning parameters for improved accuracy.
Implementation Method 1
by scanning a specific region of a subject such as a patient with a CT scanner system, a reconstructed image may be acquired
Data Source
AI summary
A method for optimizing CT scanning parameter is disclosed. A target group may be generated from a plurality of reference information samples. Each of the reference information samples may include subject information, information indicating a scanning protocol, one or more scanning parameter values and information indicating reconstructed image quality; the target group can consist of one or more reference information samples with the same subject information and the same scanning protocol. A scanning parameter optimization may be performed according to reconstructed image qualities and scanning parameter values of reference information samples in the target group, so as to acquire a target scanning parameter value of the target group. And according to the target scanning parameter value, a reference X-ray irradiation dose corresponding to the scanning protocol and the subject information of the target group may be determined.