Projection Data Position Matching for Accurate CT Defect Imaging
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Solution Overview
Problem
Existing nondestructive inspection techniques for detecting defects in inspection targets face challenges in accurately identifying the imaging position of projection data, which is crucial for generating accurate tomographic images and defect detection.
Innovation Solution
An information processing apparatus and method that utilize attenuation and shape information of the inspection target to generate virtual projection data, allowing for the identification of an imaging position by comparing actual and virtual projection data, and incorporating scattered radiation components to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If virtual projection data is generated based on attenuation and shape information to identify imaging position, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary generation of virtual projection data based on attenuation information and shape information before actual imaging position identification. This preliminary action creates a reference dataset that simplifies the subsequent matching process, as the virtual data already incorporates expected attenuation patterns and geometric constraints, reducing the complexity of the identification algorithm.
Solution Approach 2:
The invention creates virtual projection data as a simplified copy or simulation of actual projection data. Instead of directly analyzing complex actual projection data to determine imaging position, the system generates virtual copies with known parameters and matches them against actual data. This copying approach reduces measurement complexity by working with synthesized reference data rather than raw complex data.
2Measurement precision
If scattered radiation components are incorporated to enhance imaging position accuracy, then measurement precision is improved, but processing time increases
Solution Approach 1:
The system pre-calculates scattered radiation components and incorporates them into the virtual projection data generation process before the matching step. By performing this complex calculation in advance rather than during real-time matching, the system achieves high measurement precision while minimizing the time consumed during the critical identification phase.
3Reliability
If virtual projection data is generated using attenuation information and shape information, then reliability of defect detection is improved, but device complexity increases
Solution Approach 1:
The virtual projection data generation system serves multiple functions: it provides reference data for imaging position identification, incorporates attenuation characteristics for material differentiation, and integrates shape information for geometric verification. This multi-functionality increases reliability by using the same virtual data framework for multiple validation purposes, rather than requiring separate systems for each function.
Solution Approach 2:
The system creates virtual copies of projection data that embed both attenuation and shape characteristics. These copied virtual datasets serve as comprehensive reference models that can be matched against actual data to simultaneously verify position, material properties, and geometric accuracy, thereby improving defect detection reliability without requiring multiple separate analysis systems.
Data Source
AI summary
An information processing apparatus includes at least one processor configured to acquire projection data obtained by irradiating an inspection target with radiation. The at least one processor is also configured to identify an imaging position of the projection data, based on the projection data, attenuation information of the inspection target, and shape information of the inspection target.