Medical X-ray System Automatic Parameter Setting
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Solution Overview
Problem
Existing X-ray imaging technologies in minimally invasive procedures face challenges in optimizing image quality while minimizing radiation exposure, particularly due to complex procedures and manual system operation leading to suboptimal fluoroscopy parameters.
Innovation Solution
A method for automatically setting image acquisition parameters in a medical X-ray system by using X-ray visible markings with encoded information on medical objects, enabling image recognition, evaluation, and assignment of optimal X-ray parameters to minimize radiation dose and enhance image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If manual selection of X-ray imaging parameters is used, then operator control and flexibility are maintained, but suboptimal fluoroscopy parameters are selected leading to increased radiation exposure
Solution Approach 1:
The medical object itself provides the information needed for optimal parameter selection through its markings. The system automatically reads these markings and configures parameters without operator intervention, making the system self-optimizing rather than relying on manual selection.
Solution Approach 2:
The system automatically changes X-ray imaging parameters (kV, mA, exposure time, filtration) based on the material composition information obtained from reading the markings on the medical object, optimizing parameters for each specific object type.
2Productivity
If complex procedures are performed with manual system operation, then comprehensive medical interventions are enabled, but suboptimal fluoroscopy parameters lead to increased radiation dose
Solution Approach 1:
The optimal imaging parameters are predetermined and stored in the markings on the medical object itself. When the object is placed in the imaging field, the system reads these pre-stored parameters and automatically applies them, eliminating the need for manual optimization during complex procedures.
Solution Approach 2:
The system continuously reads the markings on the medical object during the procedure and uses this information to maintain optimal imaging parameters throughout the complex intervention, providing real-time feedback-based optimization.
3Measurement precision
If automated parameter setting is implemented, then radiation exposure is minimized and image quality is optimized, but additional technical complexity is introduced to the system
Solution Approach 1:
The markings on the medical object serve as an intermediary that carries all the necessary information for optimal imaging parameters. This simple intermediary solution avoids the need for complex sensors, actuators, or control systems while achieving automated optimization.
Solution Approach 2:
The patent replaces complex mechanical or electronic parameter adjustment systems with an optical/information-based solution. The system reads visual markings (optical information) and automatically configures parameters, substituting potential mechanical adjustment mechanisms with a software-based control approach.
4Loss of information
If standardized position markers are applied to medical objects, then object identification is improved, but comprehensive material information and optimal imaging parameters are not provided
Solution Approach 1:
The markings on the medical object serve multiple functions simultaneously: they provide object identification, material composition information, and optimal imaging parameters. This multi-functional approach eliminates the need for separate identification systems and parameter optimization systems.
Solution Approach 2:
The patent combines object identification markers and imaging parameter information into a single integrated marking system. Instead of separate components for identification and parameter specification, both functions are merged into one unified marking structure that the system reads and processes together.
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 method automates the selection of optimal X-ray parameters, reducing radiation exposure and improving image quality without additional operator steps, thereby benefiting patient and operator safety and procedure efficiency.
Implementation Method 1
when acquiring X-ray images of a patient with at least one object arranged on or in the body of the patient
Implementation Method 2
the object has X-ray visible markings on its surface with encoded information
Data Source
AI summary
A method is provided for automatically setting image acquisition parameters of a medical X-ray system when acquiring X-ray images of a patient with an object arranged on or in the body of the patient. The method includes: providing an X-ray image of the object, wherein the object has X-ray visible markings on its surface with encoded information, in particular material data, relating to the object; determining the X-ray visible markings of the X-ray image of the object, (e.g., by image recognition); evaluating the X-ray visible markings with regard to the information contained therein relating to the object, (e.g., material data); assigning image acquisition parameters to the information; and automatically setting the assigned image acquisition parameters on the X-ray system.