3D Contour Imaging for Collision Prediction and Scan Safety
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Solution Overview
Problem
Existing non-destructive examination methods fail to accurately predict collisions between a subject under examination and an imaging device, often due to interference from accessories or other objects, leading to inefficient and potentially hazardous scanning processes.
Innovation Solution
A method and imaging device that utilize a global 3D contour image to predict potential collisions by converting object coordinates, determining overlap with the imaging device's 3D contour, and generating imaging operation prompts to avoid collisions, while excluding interference factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a predicted collision region is used to identify potential collisions, then collision prediction coverage is improved, but accuracy deteriorates due to inclusion of noise from accessories and other objects
Solution Approach 1:
The patent extracts and removes accessory information and noise from the predicted collision region. By identifying and excluding these interfering elements, the system retains only true collision risks associated with the subject under examination, thereby improving prediction accuracy while maintaining comprehensive coverage.
Solution Approach 2:
The patent introduces an intermediary processing stage that filters and validates collision predictions. This intermediary mechanism distinguishes between valid collision signals from the subject and false signals from accessories or noise, enabling accurate prediction without loss of relevant information.
2Productivity
If collision prediction includes accessories and other objects, then comprehensive coverage is improved, but examination efficiency deteriorates due to inaccurate predictions
Solution Approach 1:
The patent removes accessory and noise elements from the collision prediction analysis. By extracting only the relevant collision information related to the subject under examination, the system achieves both high accuracy and efficient examination processing, eliminating false positives that would reduce productivity.
Solution Approach 2:
The patent implements a feedback mechanism that validates collision predictions against the actual subject contour. This feedback loop ensures that only accurate predictions are used to guide examination operations, maintaining high efficiency while improving reliability through continuous verification.
3Productivity
If the scanning table moves to scan the subject, then examination completeness is improved, but collision risk increases without accurate prediction
Solution Approach 1:
The patent performs preliminary collision prediction before the scanning table begins to move. By pre-identifying potential collision pixels and projecting them onto the subject contour, the system can prevent harmful collisions before they occur, enabling safe high-speed scanning.
Solution Approach 2:
The patent establishes a feedback control system that monitors the scanning process and adjusts table movement based on real-time collision risk assessment. This feedback mechanism allows the system to maintain high scanning speed while preventing collisions by dynamically adapting to the subject's position and contours.
Data Source
AI summary
Provided are an imaging method and an imaging device. The imaging method includes: obtaining a global 3D contour image including an imaging device and a pre-identified object, where the pre-identified object includes at least a part of a subject under examination; predicting a potential collision pixel at which the pre-identified object will possibly collide with the imaging device in a process of being moved; obtaining a contour image of the subject under examination; determining whether the potential collision pixel falls within a range of the contour image of the subject under examination; and in response to the aforementioned determination, generating a corresponding imaging operation prompt.