Automated X-ray CT Measurement Plan Generation
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Solution Overview
Problem
Current X-ray CT measurement methods require manual planning and adjustment to ensure accurate measurement of multiple locations, leading to inefficiencies and increased number of scans, as they struggle to automatically calculate optimal measurement field of view magnification and generate plans that fit all targeted locations.
Innovation Solution
An automated method and apparatus that calculates measurement field of view magnification and generates an optimized measurement plan using CAD data, allowing for automatic grouping of measurement locations by matching magnification and determining optimal CT scan positions, thereby minimizing the number of measurements needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the measurement field of view is reduced to improve measurement accuracy at specific locations, then measurement precision improves, but the number of CT scans required increases and not all targeted measurement locations can be measured
Solution Approach 1:
The system automatically calculates and adjusts the measurement field of view magnification parameter based on tolerance information from CAD data. By optimizing the magnification parameter, the system achieves both high measurement precision at critical locations and reduced total scan count, resolving the contradiction between accuracy and productivity
Solution Approach 2:
The system performs preliminary analysis of CAD data and tolerance requirements before executing CT scans. It pre-calculates the optimal measurement field of view and groups measurement locations, allowing the actual scanning process to be more efficient and targeted, thereby reducing the number of scans needed while maintaining precision
2Measurement precision
If manual planning and adjustment are used to ensure accurate measurement of multiple locations, then measurement precision improves, but device complexity and operational time increase
Solution Approach 1:
The system automatically generates the measurement plan by analyzing CAD data and tolerance information without requiring manual intervention. The automated calculation of measurement field of view magnification and grouping of measurement locations eliminates complex manual planning while maintaining measurement precision
Solution Approach 2:
The system replaces manual planning and adjustment operations with automated computational processes. By using computer-based calculation and analysis of CAD data, the complex manual tasks are substituted with automated algorithms that achieve the same measurement precision with reduced complexity
3Reliability
If multiple CT scans are performed to measure all targeted locations, then measurement completeness improves, but the total measurement time and process complexity increase
Solution Approach 1:
The system merges multiple measurement locations into groups that can be measured simultaneously within a single CT scan based on their spatial proximity and tolerance requirements. This combining approach ensures measurement completeness while reducing the total number of scans and measurement time
Solution Approach 2:
The system performs preliminary grouping of measurement locations based on tolerance information and spatial relationships before executing scans. This pre-organization allows for optimized scan sequencing and reduces redundant measurements, thereby completing all required measurements faster
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 significantly reduces the manual effort required for measurement planning, enhances measurement accuracy, and minimizes the number of CT scans needed, making the process more efficient by automatically adjusting the measurement field of view and generating optimized plans based on tolerance information.
Implementation Method 1
an X-ray tube 12 that fires X-rays 13
Implementation Method 2
when the X-rays 13 pass through an object
Implementation Method 3
an X-ray detection device 14 detecting the X-rays 13
Implementation Method 4
calculates a measurement field of view magnification
Data Source
AI summary
When generating a measurement plan for measuring X-ray CT that performs X-ray irradiation while rotating a test object, and in doing so acquires projection image data, reconstructs volume data from the projection image data, and measures a targeted measurement location in the volume data, the present invention calculates required measurement accuracy and a measurement field of view range based on tolerance information included in CAD data of the test object and a measurement location on the test object defined by a measurement operator ahead of time, and automatically generates, from this information, an optimized measurement plan that minimizes the number of measurements.