Adaptive Interventional Imaging Control for Lower Radiation Dose
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Solution Overview
Problem
Existing medical imaging systems require high radiation doses during interventional procedures, despite the varying image quality needs throughout the procedure, leading to unnecessary exposure for both the patient and operator.
Innovation Solution
An adaptive image quality adjustment system that modulates radiation parameters based on the position, spatial orientation, and type of the interventional tool, allowing for real-time control of image quality and reduced radiation dose.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high radiation dose is used during interventional procedures, then image quality is improved, but radiation exposure to patient and operator increases
Solution Approach 1:
The system applies different image quality levels to different spatial regions and procedural stages. High image quality is maintained only in critical areas (e.g., near the interventional tool tip or sensitive anatomical structures), while peripheral or non-critical regions receive lower quality imaging. This spatial and temporal differentiation of quality levels reduces overall radiation dose while preserving diagnostic capability where needed.
Solution Approach 2:
The imaging system dynamically adjusts radiation dose and image quality parameters in real-time based on the procedural context. The system responds to changing conditions such as tool position, anatomical landmarks, and procedural phase to modulate radiation output, transitioning between high and low dose modes as clinically appropriate rather than maintaining a static high-dose setting throughout.
2Measurement precision
If high radiation dose is used throughout the procedure, then sufficient image quality is maintained, but unnecessary radiation burden is applied during low-quality-sufficient phases
Solution Approach 1:
The system changes multiple imaging parameters simultaneously (radiation dose, frame rate, spatial resolution, field of view) based on procedural needs. During phases where lower quality suffices, the system reduces these parameters to minimize radiation burden. The coordination of multiple parameter adjustments allows flexible adaptation to varying clinical requirements throughout the intervention.
Solution Approach 2:
The system applies the minimum necessary image quality and radiation dose required for each procedural phase rather than using maximum settings throughout. During tool positioning or observation phases where detailed imaging is less critical, reduced quality settings are sufficient, avoiding the excessive radiation burden of maintaining high-quality imaging during all phases.
3Object-affected harmful factors
If adaptive image quality adjustment is implemented, then radiation dose is reduced, but system complexity increases
Solution Approach 1:
The system incorporates feedback mechanisms that monitor procedural state, tool position, and imaging quality requirements to automatically adjust radiation parameters. Sensors and software track the interventional tool location and procedural phase, feeding this information back to the radiation control system, which then modulates dose settings accordingly. This closed-loop control enables adaptive radiation management without requiring constant manual operator intervention.
Solution Approach 2:
The imaging system performs self-adjustment of radiation parameters based on embedded intelligence and pre-programmed protocols. The system autonomously determines when high or low quality imaging is appropriate based on detected procedural context, eliminating the need for continuous manual adjustment by the operator and reducing the complexity burden on human users while maintaining sophisticated adaptive capabilities.
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
Reduces radiation exposure by dynamically adjusting image quality according to the procedural needs, ensuring optimal image quality only where necessary, thereby minimizing radiation burden on the patient and operator.
Implementation Method 1
a radiation source (33) which provides radiation to a detector (30)
Data Source
AI summary
A medical imaging system repeatedly irradiates a capturing area of a patient with a radiation, acquires data from the irradiated area of the patient and generates images from such acquired data. The system is arranged for automatic adaptive adjustment of at least one parameter of the system influencing the image quality of the generated images dependent from the position, spatial orientation and/or type of an intervention tool which is introduced into the patient.