Automated Phantom Centering Using Edge Detection in CT Calibration
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Solution Overview
Problem
Manual alignment of phantoms in medical imaging systems, such as CT systems, leads to misalignment errors and inefficiencies in calibration processes, affecting image quality and increasing the need for repeated realignments and scans.
Innovation Solution
An automated phantom centering method that determines distances to the isocenter using edge finding algorithms and adjusts the phantom's position automatically to align it accurately with the imaging system, reducing human error and time consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual alignment of phantoms is used, then ease of operation is improved, but measurement precision deteriorates due to misalignment errors
Solution Approach 1:
The patent replaces manual mechanical alignment operations with an automated image processing system. The system automatically detects phantom edges and calculates center positions using computational algorithms, eliminating human error in alignment while maintaining ease of operation through automated execution.
Solution Approach 2:
The phantom centering system performs self-alignment by automatically detecting its own position and calculating corrections. The system processes scan data, identifies phantom boundaries, computes center coordinates, and determines positioning adjustments without requiring manual intervention, enabling the system to correct its own alignment.
2Measurement precision
If manual realignment and repeated scans are performed, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary detection and calculation of phantom position and center coordinates before the actual calibration scan. By pre-calculating the required adjustments and automatically executing them, the system eliminates the need for repeated manual realignment operations, saving time while ensuring accuracy.
Solution Approach 2:
The system uses feedback from scan data to automatically adjust phantom positioning. By analyzing the detected phantom edges and comparing them with the expected center position, the system calculates correction values and automatically repositions the phantom, eliminating the need for repeated manual attempts and reducing overall time loss.
3Measurement precision
If automated phantom centering is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent integrates the phantom centering functionality into the existing imaging system's processor, which already handles image reconstruction and calibration. By making the processor multi-functional to handle both imaging and automated centering tasks, the system achieves high precision without proportionally increasing overall device complexity.
Data Source
AI summary
Systems and methods are herein provided for automatic phantom centering. In one example, a method for an imaging system comprises acquiring scan data of a phantom; determining one or more distances to center of the phantom; and automatically adjusting a position of the phantom based on the one or more distances to center.