Monitored Tomographic Reconstruction with Adaptive Stopping Rules
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Solution Overview
Problem
Conventional computed tomography (CT) systems face challenges in achieving high reconstruction quality while minimizing radiation dose and time, particularly in medical applications, where there is a trade-off between image noise and radiation exposure, leading to inconsistent radiation doses for different objects.
Innovation Solution
The implementation of monitored reconstruction techniques that use stopping rules based on reconstruction quality metrics to determine when sufficient image quality is achieved, allowing for fewer X-ray projections to be used while maintaining mean reconstruction quality, thereby optimizing the number of projections and radiation dose.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of X-ray projections is increased to improve reconstruction quality, then image quality improves, but radiation dose increases
Solution Approach 1:
The patent implements dynamic adjustment of the projection acquisition process by introducing stopping rules that adaptively determine when to terminate data collection based on monitored reconstruction quality metrics. The system dynamically evaluates reconstruction quality after each projection and stops acquisition when a predefined quality threshold is met, transforming the static fixed-projection approach into a dynamic adaptive process that optimizes the balance between image quality and radiation dose.
Solution Approach 2:
The patent employs feedback mechanisms by continuously monitoring reconstruction quality metrics during the projection acquisition process. The system uses quality assessment algorithms that provide real-time feedback on reconstruction performance, which then informs the decision to continue or stop data collection. This closed-loop feedback system enables the stopping rules to adjust the acquisition process based on actual reconstruction quality rather than predetermined projection counts.
2Measurement precision
If the number of X-ray projections is increased to reduce image noise, then image quality improves, but the time required for scanning increases
Solution Approach 1:
The system transforms the static fixed-time scanning protocol into a dynamic adaptive process where scanning duration is determined by real-time quality assessment. The stopping rules dynamically adjust the scanning process by monitoring reconstruction quality metrics and terminating acquisition when quality thresholds are met, enabling variable scanning times that adapt to the specific characteristics of each object and quality requirement.
Solution Approach 2:
The patent implements self-service mechanisms where the reconstruction quality assessment system automatically determines when sufficient data has been collected without requiring external intervention or predetermined timing. The quality metrics and stopping rules enable the system to self-regulate the scanning process, autonomously deciding when to terminate acquisition based on intrinsic quality measures rather than external time constraints.
3Ease of operation
If a fixed number of projections is used for all objects, then scanning protocol is simplified, but radiation dose optimization is compromised
Solution Approach 1:
The patent introduces dynamic stopping rules that adapt the fixed scanning protocol to individual object characteristics. While maintaining a standardized acquisition framework, the system dynamically adjusts the actual number of projections collected for each object based on real-time quality assessment. This dynamic adaptation allows the protocol to remain simple in structure while achieving object-specific optimization of radiation dose.
Solution Approach 2:
The system optimizes radiation dose by changing the parameter of projection count from a fixed value to a variable determined by quality metrics. The stopping rules modify the acquisition parameter (number of projections) based on reconstructed image quality assessments, enabling parameter adaptation that balances protocol simplicity with dose optimization for different objects.
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
This approach enables higher mean reconstruction quality for a given number of X-ray projections and reduces the average number of projections required to achieve the same quality, thereby minimizing radiation exposure and improving reconstruction efficiency.
Implementation Method 1
The tomographic projections are collected relying on the property of X-ray attenuation as the projections traverse the matter. Attenuation is the reduction of the intensity of an X-ray beam, used to create an image.
Data Source
AI summary
A system for monitored tomographic reconstruction, comprising: an x-ray generator configure to generate x-ray beams for scanning an object; detectors configured to capture a plurality of projections for each scan; at least one hardware processor; and one or more software modules that, when executed by the at least one hardware processor, receive the plurality of projections from the detectors and as each of the plurality of projections is received, generate a partial reconstruction, and make a stopping decision with respect to whether or not another projection should be obtained based on a stopping problem and that defines when a reconstructed image quality is sufficient with respect to the expended cost as determined by a stopping rule.