X-ray Imaging System ROI Positioning Automation
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Solution Overview
Problem
Current medical imaging devices, such as angiography machines, face challenges in accurately positioning a region of interest within the X-ray radiation field, leading to inefficiencies and increased exposure doses due to manual errors in moving the positioning system.
Innovation Solution
An imaging method that determines the position of a region of interest in an X-ray image by calculating the distance and direction between the image center and the region of interest, allowing for precise movement of the positioning system, including the scanning bed and gantry, to center the region within the X-ray field.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual positioning method is used to move the scanning bed or gantry, then the operator can adjust the region of interest to the center of the field of view, but manual errors increase and positioning accuracy deteriorates
Solution Approach 1:
The patent replaces manual mechanical positioning operations with an automated image processing and calculation system. The computer calculates the distance and direction from the center of the field of view to the region of interest based on image data, then automatically controls the positioning system to move the scanning bed or gantry to the target position, eliminating manual errors and improving positioning accuracy
Solution Approach 2:
The patent uses the X-ray image as a digital copy or representation of the actual anatomical structure. By analyzing the position of the region of interest in the image copy, the system determines the required physical adjustment of the positioning system, allowing accurate positioning without direct manual measurement and adjustment
2Productivity
If the positioning system is moved manually to center the region of interest, then the imaging can be performed, but the time required for positioning increases
Solution Approach 1:
The automated calculation and control system replaces time-consuming manual positioning operations. The computer rapidly processes image data to determine the region of interest position and calculates the required movement parameters, then automatically controls the positioning system to execute the movement, significantly reducing the time needed to center the region of interest compared to manual adjustment
Solution Approach 2:
The system performs self-positioning by automatically analyzing its own imaging data to determine the correct positioning adjustments. The computer uses the captured X-ray image to identify the region of interest position and automatically controls the positioning system to move to the optimal position, eliminating the need for time-consuming manual trial-and-error adjustments
3Object-affected harmful factors
If the positioning system requires multiple adjustments to center the region of interest, then the region can be positioned correctly, but the exposure dose for the subject and operator increases
Solution Approach 1:
The automated positioning system calculates the precise distance and direction to the region of interest in one step, then executes the positioning in a single automated movement. This eliminates multiple trial adjustments and associated exposures by directly positioning the region of interest at the center of the field of view based on image analysis
Solution Approach 2:
The system performs preliminary analysis of the X-ray image to determine the exact position and movement parameters before executing the positioning operation. By calculating the required adjustment in advance based on the captured image, the system can execute a single precise positioning action that centers the region of interest without requiring multiple adjustments and exposures
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 method enables quicker and more accurate positioning of the region of interest, reducing the time required for imaging and minimizing exposure doses for both the subject and the operator by ensuring the region of interest is centered in the X-ray field.
Implementation Method 1
An angiography machine is a medical imaging device that supports a doctor to perform examination or surgery. The angiography machine may display an image of internal tissues of a subject dynamically through X-rays.
Data Source
AI summary
An imaging method is provided. In an example, the imaging method includes a first X-ray image including a ROI of a subject is taken by an image capturing device, a position of the ROI in the first X-ray image is determined, a moving distance and a moving direction for a positioning system is determined based on the position of the ROI in the first X-ray image, and the positioning system is capable of being moved to adjust a positional relationship between the image capturing device and the subject, the positioning system is moved based on the moving distance and the moving direction, and a second X-ray image including the ROI is taken by the image capturing device, and the ROI is located in a center position of the second X-ray image.