Dental Imaging Feedback Control for Tracking Error Reduction
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Solution Overview
Problem
Current dental imaging systems face challenges in adjusting imaging parameters in real-time to minimize tracking errors, leading to suboptimal image quality due to variations in illumination, motion, and other factors.
Innovation Solution
A feedback control mechanism that analyzes data from dental imaging systems to iteratively adjust parameters such as illumination level, integration time, frame rate, signal frequency, and spatial resolution in real-time, based on measured output variables, to reduce tracking errors and improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If imaging parameters are adjusted in real-time using feedback control, then image quality is improved, but system complexity increases
Solution Approach 1:
The patent implements a feedback control mechanism that continuously measures output variables (image quality metrics) and adjusts imaging parameters (illumination level, integration time, frame rate) in real-time to minimize tracking errors. This closed-loop system dynamically optimizes image quality by comparing actual measurements with target values and iteratively adjusting parameters based on the measured deviations.
Solution Approach 2:
The system transitions from static, pre-configured imaging parameters to dynamic, real-time adjustable parameters. The feedback control mechanism enables continuous adaptation of illumination level, integration time, and frame rate based on current imaging conditions, allowing the system to respond to varying oral cavity environments, patient movements, and lighting conditions.
2Measurement precision
If multiple imaging parameters are adjusted iteratively, then tracking error is reduced, but processing time increases
Solution Approach 1:
The system pre-establishes target values for output variables and has predetermined adjustment algorithms ready to execute. When measurements are taken, the system immediately compares against pre-set targets and applies pre-programmed correction factors, minimizing computational delay while achieving accurate tracking error reduction.
Solution Approach 2:
The feedback control operates continuously without interruption to the imaging process. Measurements are taken and parameter adjustments are made in real-time during image acquisition, ensuring that the useful action of imaging continues uninterrupted while maintaining high measurement precision through continuous error correction.
3Manufacturing precision
If real-time parameter optimization is implemented, then image quality improves, but energy consumption increases
Solution Approach 1:
The system dynamically changes operational parameters (illumination level, integration time, frame rate) based on real-time feedback rather than maintaining constant high-level settings. This allows the system to consume only the necessary energy required for each specific imaging situation, optimizing image quality while minimizing energy consumption by adjusting parameters to match actual needs.
Data Source
AI summary
Provided are a system, method, and computer readable storage medium in which data is received from a dental imaging system. The received data is analyzed to adjust one or more imaging parameters of the dental imaging system.


