CT Reference Detector Array for X-Ray Energy Correction
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Solution Overview
Problem
CT image reconstruction is affected by inconsistent X-ray energies due to tube voltage fluctuations, leading to inaccurate measurement data from reference detectors during low-dose or high-dose scans, which compromises image quality and diagnosis accuracy.
Innovation Solution
A CT device with multiple reference detectors, each designed to measure X-ray energy intensity within specific dose ranges, using adjustable filters and auxiliary circuits to ensure accurate detection across varying doses, and a processor to calculate energy data for precise image correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single reference detector is used to measure X-ray energy intensity, then the device complexity is low, but the measurement precision deteriorates when the dose range varies significantly
Solution Approach 1:
The patent divides the reference detection function into multiple independent reference detectors, each responsible for a specific dose range. This segmentation allows each detector to be optimized for its specific range, improving measurement precision across the entire dose spectrum while maintaining manageable device complexity through modular design
Solution Approach 2:
Each reference detector is equipped with specific filtering components and auxiliary circuits tailored to its designated dose range. This local optimization ensures that each detector has the precise characteristics needed for accurate measurement in its specific operating conditions, thereby improving overall measurement precision without requiring all detectors to be universally optimized
2Measurement precision
If multiple reference detectors are used to cover different dose ranges, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
Multiple reference detectors are designed with a unified architectural framework where each detector serves multiple purposes: measuring X-ray energy intensity, providing reference data for correction algorithms, and enabling operation across different dose ranges. This multi-functionality approach improves measurement precision while controlling device complexity through shared control and processing resources
Solution Approach 2:
The system dynamically adjusts operating parameters such as filtering characteristics and gain settings based on the selected reference detector and current dose range. This parameter adaptation allows the system to optimize measurement precision for each detector while using a single integrated control system, thereby managing device complexity through software-based parameter control rather than hardware proliferation
3Reliability
If reference detectors without dose-range optimization are used, then the device complexity is low, but the reliability deteriorates in low-dose or high-dose scans
Solution Approach 1:
The system dynamically selects and configures the appropriate reference detector based on the current dose range and scanning parameters. This dynamic adaptation ensures that the most suitable detector is always used for the current operating conditions, improving reliability across varying dose levels while using a single integrated selection mechanism to manage device complexity
Solution Approach 2:
The system incorporates feedback mechanisms where the processor continuously monitors the output from reference detectors and adjusts the selection and configuration based on measured values and expected dose ranges. This feedback control ensures reliable measurement data by automatically compensating for suboptimal detector performance and managing device complexity through intelligent control algorithms
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 solution enables accurate measurement of X-ray energy intensity across different dose ranges, improving the quality of CT images and supporting precise diagnosis by ensuring accurate attenuation coefficients for each voxel.
Implementation Method 1
a reference detector can be set on the CT device to measure energy intensity of original X-rays
Implementation Method 2
using adjustable filters and auxiliary circuits to ensure accurate detection across varying doses
Data Source
AI summary
Methods of reconstructing a CT image and CT devices are provided in examples of the present disclosure. In one aspect, scanning parameters for a CT device is obtained to perform a scan on a subject, a target reference detector is determined from the reference detectors according to the scanning parameters; the scan is performed on the subject according to the scanning parameters to obtain detection data outputted by the detector and reference detection data outputted by the target reference detector; energy data of the original X-rays emitted by the bulb tube with the scanning parameters is determined according to the reference detection data outputted by the target reference detector; the detection data outputted by the detector is corrected based on the energy data of the original X-rays to obtain scanning data; and the CT image of the subject is reconstructed by performing image reconstruction based on the scanning data.