Radiography System 3D Scene Reconstruction for Alignment
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Solution Overview
Problem
Current radiography imaging systems rely on manual operations by operators, leading to inaccurate alignment and patient movement issues, resulting in suboptimal image quality and increased radiation doses due to inadequate field of view adjustments and exposure settings.
Innovation Solution
A radiography system equipped with sensors for obtaining object and detector-position information, reconstructing a 3D scene, and controlling the radiation source and detector operations to optimize alignment and exposure parameters, reducing manual errors and radiation exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operations are used for positioning and alignment, then the system is easier to operate, but the alignment precision and image quality deteriorate
Solution Approach 1:
The patent replaces manual mechanical positioning operations with an automated optical-mechanical system. Sensors detect anatomical landmarks and automatically calculate positioning parameters, which are then transmitted to the imaging device to adjust its position and orientation. This substitution eliminates reliance on operator visual estimation while maintaining ease of operation through automated control.
Solution Approach 2:
The system performs self-positioning by automatically detecting anatomical features through sensors, calculating the optimal imaging parameters, and adjusting its own configuration without requiring manual intervention for alignment. The operator simply needs to position the patient, and the system handles the precise alignment autonomously.
2Ease of operation
If the field of view is not sufficiently narrowed, then the alignment is easier to achieve, but the radiation dose increases
Solution Approach 1:
The system uses sensors to detect anatomical landmarks and provides feedback about the patient's body geometry. This information is processed to automatically determine the optimal field of view boundaries that precisely cover the region of interest. The collimator is then automatically adjusted to narrow the beam to this optimized field, ensuring minimal radiation exposure while maintaining complete coverage of the anatomy being imaged.
Solution Approach 2:
The system dynamically changes the collimator opening parameters based on real-time detection of patient anatomy. By automatically adjusting the field of view size and shape to match the detected anatomical boundaries, the system narrows the radiation beam to the minimum necessary area, reducing the radiation dose to both the patient and operators while ensuring complete imaging coverage.
3Device complexity
If manual positioning is used, then the device complexity is lower, but the image quality and reliability deteriorate
Solution Approach 1:
The patent replaces manual positioning operations with an automated sensor-based system that detects anatomical landmarks and calculates optimal positioning parameters. This mechanical-to-automated substitution increases device complexity but dramatically improves reliability by eliminating variability in operator technique and ensuring consistent, precise alignment for every imaging procedure.
Solution Approach 2:
The system introduces sensors and a control unit as intermediaries between the operator and the imaging device positioning. These intermediaries automatically measure anatomical features and compute the precise positioning required, serving as a mediator that translates simple operator actions into complex, precise alignment adjustments, thereby improving reliability without requiring the operator to directly perform complex positioning tasks.
4Ease of operation
If the technician cannot obtain patient physiognomy information, then the operation is simpler, but the radiation dose optimization is compromised
Solution Approach 1:
The system automatically obtains and processes patient physiognomy information through integrated sensors that detect anatomical landmarks and body geometry. This self-service capability eliminates the need for manual measurement or estimation by the technician, maintaining operational simplicity while providing the system with the data needed to optimize radiation dosing parameters and minimize exposure.
Solution Approach 2:
The sensors provide feedback about patient anatomy (such as body thickness, shape, and landmark positions) to the control system. This information is used to automatically calculate and adjust exposure parameters including radiation dose, field of view size, and positioning, enabling radiation dose optimization without requiring the technician to manually assess or calculate these parameters.
Data Source
AI summary
A radiography system for imaging an object, comprises a radiation source located in a first side of the object for generating a plurality of beams; a detector located in a second side of the object for detecting the plurality of beams from the radiation source. The radiography system comprises a first sensor located in the first side of the object for obtaining an object related information and a second sensor disposed on the detector for obtaining a detector-position related information. The radiography system further comprises a controller configured to reconstruct a 3D scene based on the object related information obtained by the first sensor and the detector-position related information obtained by the second sensor and control an operation of at least one of the radiation source and the detector based on the reconstructed 3D scene. A method of controlling the radiography system is also disclosed.


