Imaging System Radiation Dose Adjustment
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Solution Overview
Problem
Current imaging systems often fail to efficiently adjust radiation dose during procedures, missing opportunities to reduce radiation exposure due to manual limitations and reliance on noise and brightness measurements, which do not account for changing image quality needs.
Innovation Solution
An imaging system that identifies tasks in real-time and adjusts radiation based on task difficulty, image quality, and frame rate, using semantic analysis and mask techniques to optimize radiation exposure, allowing for reduced radiation dose without compromising image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If manual adjustment of radiation amount is allowed, then radiation dose can be reduced by physician control, but physician cannot efficiently adjust radiation in real-time due to being preoccupied with other imaging tasks
Solution Approach 1:
The imaging system automatically monitors image quality metrics (noise, brightness, contrast) and adjusts radiation dose without physician intervention. The system serves itself by detecting when image quality degrades and autonomously modulating radiation parameters to maintain diagnostic quality while minimizing dose.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where image quality parameters are continuously measured and fed back to the radiation control system. Based on this feedback, the radiation dose is dynamically adjusted to maintain optimal image quality while reducing overall radiation exposure during the imaging procedure.
2Object-affected harmful factors
If automated control loops adjust radiation based on noise and brightness levels, then radiation dose can be reduced, but the system fails to identify parts/steps where image quality needs change as difficulty level changes
Solution Approach 1:
The system expands the parameter space for radiation control by incorporating multiple image quality metrics (noise, brightness, contrast, signal-to-noise ratio) beyond traditional single-parameter control. This multi-parameter approach enables more precise assessment of image quality needs and allows for task-specific optimization of radiation dose based on the actual diagnostic requirements of different imaging scenarios.
Solution Approach 2:
The system dynamically adapts radiation dose adjustment strategies based on the imaging task difficulty level. By continuously assessing task complexity and image quality requirements, the system modulates radiation parameters in real-time to match the actual diagnostic needs, rather than using fixed or simplistic control algorithms.
3Object-affected harmful factors
If only radiation intensity is modulated to reduce dose, then radiation dose can be reduced, but other operating parameters that could optimize image quality are not adjusted
Solution Approach 1:
The system implements multi-parameter control that simultaneously adjusts multiple operating parameters including radiation intensity, exposure time, frame rate, and imaging mode. This universal approach allows the system to optimize image quality across different dimensions while reducing radiation dose, rather than relying solely on intensity modulation.
Solution Approach 2:
The system combines multiple control strategies and parameter adjustments into a composite control mechanism. By integrating radiation dose modulation with exposure time control, frame rate adjustment, and task-based imaging protocols, the system creates a multifaceted approach to dose reduction that maintains image quality through synergistic parameter optimization.
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 reduces radiation exposure by up to 33% while maintaining or improving image quality, by automatically adjusting radiation parameters based on task demands and image processing techniques, thereby enhancing imaging efficiency.
Implementation Method 1
imaging systems used by physicians to perform diagnostic analysis and therapeutic procedures produce images by exposing a patient to radiation such as x-rays
Data Source
AI summary
A method for adjusting a radiation dose during imaging of an object within a subject is provided. The method includes identifying a task in a first frame that contains the object, the first frame generated via exposing the subject to a radiation beam; and adjusting the radiation beam based at least in part on the task prior to generating a second frame that contains the object, the second frame generated via exposing the subject to the radiation beam.