X-ray Image Formation Device Motion Artifact Correction
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Solution Overview
Problem
Existing X-ray CT devices face challenges in reducing the impact of periodic body movements, such as respiration, which can lead to artifacts in images and require additional detection devices, increasing costs and complexity.
Innovation Solution
An X-ray image formation device that includes a body movement measurement unit to detect periodic movements, a circling controller to shift the X-ray detection data, and an image formation unit that corrects for these movements by overlapping and averaging data from multiple rounds of circling, eliminating the need for external respiration sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a respiration detection device is used to synchronize CT imaging with respiratory phase, then image quality is improved by reducing motion artifacts, but device complexity and cost increase
Solution Approach 1:
The system uses the X-ray detection data itself to detect body movement periodic components through autocorrelation analysis, eliminating the need for external respiration detection devices. The detection data serves dual purposes: both as the measurement signal and as the reference for detecting periodic motion,实现ing self-service functionality.
Solution Approach 2:
The X-ray detection data is utilized for multiple functions: it serves as both the primary imaging data and the reference signal for detecting body movement periodic components. This multi-functional use of the same data eliminates the need for separate detection devices and reduces system complexity.
2Measurement precision
If a respiration detection device is attached to the subject, then respiratory movement can be detected for synchronization scanning, but additional work and time are required for attachment and detachment
Solution Approach 1:
The system performs respiratory movement detection automatically using the acquired X-ray data without requiring manual attachment of external sensors. The body movement measurement unit processes the detection data to extract periodic components, eliminating the time-consuming process of attaching and detaching external detection devices.
3Reliability
If multiple rounds of circling are performed to correct body movement periodic components, then image quality improves, but imaging time increases
Solution Approach 1:
The system performs autocorrelation analysis on the detection data to pre-identify body movement periodic components before image reconstruction. This preliminary detection allows for targeted correction of motion artifacts, enabling quality improvement without requiring excessive additional scanning rounds.
Solution Approach 2:
The system utilizes the periodic nature of respiratory movement to predict and correct artifacts at corresponding phases across multiple rounds of circling. By leveraging the periodic pattern, the system can efficiently correct motion artifacts without requiring continuous additional scanning, thus balancing image quality with imaging time.
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 solution improves image quality by reducing the influence of periodic body movements without the need for additional detection devices, thereby reducing costs and complexity while enhancing diagnostic reliability.
Implementation Method 1
an X-ray measurement unit which obtains X-ray detection data by radiating X-rays to a subject in a manner to circle around the subject and detecting the X-rays
Data Source
AI summary
CT imaging is performed twice (S1101), which is set as the normal number of rotations, and a sinogram is corrected (S1102) based on the sinogram obtained by performing CT imaging twice. Since the cycles of data variation caused by respiration are controlled so as not to overlap one another, usually the data variations caused by respiration are eliminated by performing CT imaging twice. However, depending on irregularity in the respiration cycle of the subject, data variation components sometimes overlap at the same angle in spite of the fact that the cycles of data variation caused by respiration are controlled so as not to overlap one another. Therefore, when data variation components remain overlapped at the same angle, CT imaging is performed one additional time (S1104) and the sinogram is corrected (S1102) using the sinogram obtained by performing the additional CT imaging.