Automated X-ray Acquisition Parameter Adaptation for Medical Imaging
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Solution Overview
Problem
Existing image management systems in medical interventions face challenges in optimizing image quality for both human analysis and automatic device navigation, often requiring manual adjustment of x-ray dosage which can compromise image quality and increase radiation exposure.
Innovation Solution
An automated method and system that dynamically sets acquisition parameters such as x-ray dosage, magnetic field parameters, or ultrasound parameters based on the specific task requirements, using predetermined algorithms to optimize image quality for both human assessment and automated processing while minimizing radiation exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the x-ray dosage is reduced to minimize radiation exposure, then the harmful effects of radiation on the patient decrease, but the image quality is affected and possibly decreased
Solution Approach 1:
The system dynamically adapts acquisition parameters based on task requirements. Different image quality settings are applied depending on whether the task is human analysis or automatic processing, allowing optimal image quality to be achieved with minimal radiation dosage for each specific task type.
Solution Approach 2:
The system changes acquisition parameters (such as x-ray dosage, magnetic field parameters, or ultrasound parameters) based on the specific task requirements. By adjusting these parameters dynamically, the system maintains adequate image quality for automatic processing while minimizing radiation exposure to the patient.
2Measurement precision
If manual adjustment of x-ray dosage is performed to optimize image quality, then the image quality may be improved for human analysis, but the complexity of operation increases and radiation exposure is not minimized
Solution Approach 1:
The system automatically determines and adjusts acquisition parameters based on the defined task without requiring manual intervention. The automated method selects appropriate image quality settings according to whether the task is human analysis or automatic processing, eliminating the need for operator judgment and reducing operational complexity.
Solution Approach 2:
The system uses feedback from task requirements to automatically adjust acquisition parameters. By continuously adapting parameters based on the specific task at hand, the system maintains optimal image quality while minimizing radiation exposure without requiring manual adjustment by the operator.
3Ease of operation
If a constant dosage is set for the whole sequence to simplify operation, then the ease of operation is improved, but the image quality may not be optimal for automatic image processing tasks
Solution Approach 1:
Instead of using a constant dosage, the system dynamically adapts acquisition parameters to match the specific requirements of each task. This allows image quality to be optimized for automatic processing tasks while keeping the system simple to operate through automated parameter selection.
Solution Approach 2:
The system applies different image quality settings locally according to the specific task requirements. Rather than using a uniform constant dosage throughout, the system tailors the acquisition parameters to the local needs of each processing task, ensuring optimal quality where needed while maintaining operational simplicity through automation.
Data Source
AI summary
To improve execution of image-based tasks, such as obtaining an x-ray image with a desired contrast while using a minimum x-ray dosage, a method in which one or more acquisition parameters of an image acquisition apparatus are automatically set as a function of the task is provided. An image of a biological tissue is acquired using the image acquisition apparatus for which one or more acquisition parameters have been automatically set. The task is executed based on the image of the biological tissue.