Computed Tomography Reference Object for Movement Error Compensation
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Solution Overview
Problem
Computed tomography systems face challenges in achieving high image quality due to movement errors during spiral scans, as the precise relative positions of the X-ray radiation source and detector are not accurately detected, leading to deviations from the ideal spiral path.
Innovation Solution
A method and system that use a reference object to compensate for movement errors by sampling its parts during data generation, allowing for the determination of correction variables to improve image data accuracy, which involves generating a raw data set, comparing it with trained data, and applying corrections to generate high-quality image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed position coupling between examination table and gantry is used, then movement errors are reduced and image quality increases, but freedom of movement and operational flexibility are restricted
Solution Approach 1:
The system uses sensors to detect the actual positions of the examination table and gantry during movement, feeds this information back to a control unit, which then calculates correction values to compensate for deviations from the ideal spiral path, thereby maintaining measurement precision without restricting operational freedom
Solution Approach 2:
The system dynamically adjusts correction parameters based on detected position deviations, changing the correction values applied to the spiral path calculation to compensate for movement errors in real-time, allowing flexible operation while maintaining image quality
2Device complexity
If ideal spiral path assumption is used for attenuation value calculation, then calculation simplicity is maintained, but image accuracy deteriorates due to uncorrected movement errors
Solution Approach 1:
The system performs preliminary detection of actual positions and calculation of correction values before generating the final image data, preparing correction information in advance that can be applied during the reconstruction process without significantly complicating the overall workflow
Solution Approach 2:
The system introduces correction values as an intermediary element between the ideal spiral path assumption and the actual movement reality, allowing the simple ideal path model to be used while compensating for deviations through the correction layer, thus maintaining calculation simplicity while improving accuracy
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 enhances image quality by partially compensating for movement errors, improving the accuracy of image data generation and reducing the impact of deviations from the ideal spiral path, thereby increasing the precision of sectional images.
Implementation Method 1
a computed tomography system having an X-ray radiation source and an X-ray radiation detector
Data Source
AI summary
A method is for generating image data of an examination object via a computed tomography system including a data processing unit; an X-ray radiation source and an X-ray radiation detector suspended on a support and mounted to be rotatable about a z-axis; and an examination table for supporting the examination object and a reference object arranged in a fixed position relative to the examination table. The method includes generating a raw data set by displacing the X-ray radiation source and the X-ray radiation detector relative to the examination object. During generation of the raw data set, at least one part of the examination object is sampled together with at least one part of the reference object. The sampling of the at least one part of the reference object is used to compensate at least in part for the influence of movement errors during the displacement.