X-Ray Imaging System Dynamic Dosage Control
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Solution Overview
Problem
Existing x-ray imaging systems face challenges in maintaining image quality while minimizing x-ray dosage, often resulting in increased dosage leading to overloading of detectors and decreased image quality.
Innovation Solution
The system includes an initialization module to obtain patient and procedure parameters, an imaging module to acquire and align images, and a processing module to adjust x-ray source settings, thereby reducing x-ray dosage while maintaining or improving image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If voltage, current and/or dosage periods are increased to provide improved images, then image quality may be improved, but x-ray dosage to the patient increases and image quality may decrease due to detector overload
Solution Approach 1:
The system dynamically adjusts x-ray source settings (voltage, current, dosage periods) based on real-time feedback from image quality assessment and patient anatomy analysis. The control system continuously optimizes parameters during the procedure rather than using fixed settings, allowing adaptation to varying anatomical densities and procedural needs while maintaining optimal image quality and minimizing dosage.
Solution Approach 2:
The system incorporates feedback mechanisms where image quality is continuously assessed and used to adjust subsequent x-ray parameters. The control system analyzes acquired images and patient parameters to determine optimal settings for the next imaging step, creating a closed-loop system that prevents detector overload and minimizes cumulative dosage while maintaining diagnostic image quality.
2Measurement precision
If voltage, current and/or dosage periods are increased in an attempt to provide improved images, then image quality may be improved, but x-ray detectors become overloaded
Solution Approach 1:
The system dynamically adjusts x-ray source settings (voltage, current, dosage periods) based on real-time feedback from image quality assessment and patient anatomy analysis. The control system continuously optimizes parameters during the procedure rather than using fixed settings, allowing adaptation to varying anatomical densities and procedural needs while maintaining optimal image quality and minimizing dosage.
Solution Approach 2:
The system incorporates feedback mechanisms where image quality is continuously assessed and used to adjust subsequent x-ray parameters. The control system analyzes acquired images and patient parameters to determine optimal settings for the next imaging step, creating a closed-loop system that prevents detector overload and minimizes cumulative dosage while maintaining diagnostic image quality.
3Object-affected harmful factors
If voltage, current and/or dosage periods are increased, then x-ray dosage to the patient increases, but image quality decreases during the procedure
Solution Approach 1:
The system dynamically adjusts x-ray source settings (voltage, current, dosage periods) based on real-time feedback from image quality assessment and patient anatomy analysis. The control system continuously optimizes parameters during the procedure rather than using fixed settings, allowing adaptation to varying anatomical densities and procedural needs while maintaining optimal image quality and minimizing dosage.
Solution Approach 2:
The system changes multiple parameters simultaneously (voltage, current, dosage periods) based on patient-specific factors such as body habitus, anatomical region, and procedural requirements. By coordinating changes across multiple parameters rather than adjusting a single parameter in isolation, the system achieves optimal image quality at lower dosage levels.
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
The system effectively minimizes x-ray dosage while maintaining or improving image quality by dynamically adjusting x-ray source settings based on patient and procedure parameters, providing feedback for improved settings.
Implementation Method 1
Each of the x-ray sources generates x-rays, which are directed at a subject. Each of the x-ray detectors detects the x-rays subsequent to the x-rays passing through the subject.
Data Source
AI summary
A system including initialization, imaging, alignment, processing, and setting modules. The initialization module obtains patient parameters for a patient and procedure and surgeon parameters. The initialization module selects first settings for an x-ray source based on the patient, procedure, and surgeon parameters. The image module obtains a first sample set of images of a region-of-interest of the patient and a master sample set of images. The first sample set was acquired as a result of the x-ray source operating according to the first settings. The alignment module aligns the first sample set to the master sample set. The processing module processes pixel data corresponding to a result of the alignment based on a pixel parameter or one of the patient parameters. The setting module adjusts the first settings to provide updated settings. X-ray dosage associated with the updated settings is less than x-ray dosage associated with the first settings.