X-Ray Tube Angle Control for Consistent Diagnostic Imaging
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Solution Overview
Problem
Existing X-ray diagnostic apparatuses require manual adjustment of X-ray tube angles by operators, which is inefficient and prone to variations due to skill differences, leading to increased radiation exposure and reduced imaging quality.
Innovation Solution
An X-ray diagnostic apparatus with automated angle adjustment capabilities, utilizing processing circuitry to rotate and position the X-ray tube based on pre-defined clinical purposes and imaging regions, reducing the need for manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of X-ray tube angles is performed by operators, then flexibility in positioning is maintained, but efficiency decreases and variations occur due to skill differences
Solution Approach 1:
The system automatically determines the examinee's posture using image recognition technology, and the processing circuitry autonomously calculates and adjusts the X-ray tube angle based on the recognized posture, eliminating the need for manual angle adjustment by operators while maintaining optimal positioning
Solution Approach 2:
The patent replaces the manual mechanical adjustment system with an automated control system that uses image recognition and processing circuitry to automatically position the X-ray tube at the correct angle, substituting human operation with automated technological systems
2Adaptability or versatility
If manual adjustment of X-ray tube angles is performed by operators, then adaptability to different postures is possible, but measurement precision decreases due to skill variations
Solution Approach 1:
The system captures images of the examinee, recognizes the posture through image processing, and uses this feedback information to automatically adjust the X-ray tube angle, creating a closed-loop control system that ensures precise angle setting based on actual examinee positioning
Solution Approach 2:
The system creates a digital representation of the examinee's posture through image recognition, then uses this copied visual information to determine the appropriate X-ray tube angle, replacing subjective human judgment with objective image-based measurement
3Adaptability or versatility
If multiple imaging regions require different incident angles, then comprehensive imaging coverage is achieved, but loss of time increases due to repeated manual adjustments
Solution Approach 1:
The system performs preliminary image recognition to determine the examinee's posture and pre-calculates the appropriate X-ray tube angle before imaging begins, allowing the tube to be automatically positioned at the correct angle without requiring time-consuming manual adjustments between different imaging regions
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
Improves efficiency in setting X-ray angles, reduces operator workload, and minimizes variations in angles, thereby decreasing unnecessary radiation exposure and enhancing imaging consistency.
Implementation Method 1
an X-ray tube configured to irradiate an imaging region of a subject with X-rays
Implementation Method 2
an X-ray detector configured to detect the X-rays
Data Source
AI summary
The X-ray diagnostic apparatus according to any of embodiments includes an X-ray tube, an X-ray detector and processing circuitry. The X-ray tube is configured to irradiate an imaging region of a subject with X-rays. The X-ray detector is configured to detect the X-rays. The processing circuitry is configured to acquire an incident angle of the X-rays corresponding to a clinical purpose of the imaging region, and acquire image data from an image sensor that images the imaging region. The processing circuitry is configured to rotate the X-ray tube in accordance with the acquired incident angle of the X-rays, and slide a position of a central path of the X-rays with respect to the imaging region based on the image data.


