Image Correction for Time-Series Data Reliability
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Solution Overview
Problem
Current techniques for correcting positional shifts in time-series image data, especially due to body motion, lack a mechanism to evaluate the accuracy of the correction results, leading to unnatural structure patterns and deteriorated image quality.
Innovation Solution
An image diagnostic device and method that selects image data based on similarity to a reference image, generates correction vectors, and performs corrections to create reliable corrected image data, including area setting, reference image selection, similarity evaluation, and error correction units to enhance accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correction process is performed on time-series image data, then positional shift accuracy is improved, but reliability evaluation capability deteriorates
Solution Approach 1:
The patent implements feedback by calculating a reliability index based on the correction amount and comparing it against a threshold. When the reliability index falls below the threshold, the system feeds back to reject the corrected image and selects alternative reference images, creating a closed-loop control system that ensures correction reliability while maintaining accuracy.
Solution Approach 2:
The patent performs preliminary evaluation of correction reliability before finalizing the correction result. By calculating the reliability index in advance and evaluating whether it meets the threshold, the system prevents unreliable corrections from being applied, thus maintaining both accuracy and reliability.
2Manufacturing precision
If correction process is performed on time-series image data, then positional shift is corrected, but image quality deteriorates due to unnatural structure patterns
Solution Approach 1:
The system uses feedback control by evaluating the reliability index and rejecting correction results that produce unnatural structure patterns. When the reliability index is below the threshold, the corrected image is discarded and alternative reference images are selected, preventing quality deterioration while maintaining positional correction accuracy.
Solution Approach 2:
The reliability index acts as an intermediary between the correction process and the final image output. It mediates by evaluating whether the correction amount is appropriate, allowing the system to accept or reject corrections based on this intermediate evaluation, thus preventing unnatural structure patterns while maintaining correction effectiveness.
3Measurement precision
If correction amount is increased to address body motion, then positional accuracy is improved, but correction error increases
Solution Approach 1:
The patent implements feedback by calculating the reliability index from the correction amount and comparing it against a threshold. When the correction amount is excessive and produces unnatural results, the reliability index drops below the threshold, triggering a feedback loop that rejects the correction and selects a different reference image, thus preventing correction errors while maintaining positional accuracy.
Solution Approach 2:
The system dynamically adjusts the correction process by evaluating the reliability index and adaptively selecting reference images. When one reference image produces excessive correction, the system dynamically switches to alternative reference images, making the correction process flexible and adaptive to different motion conditions, thereby balancing accuracy and error reduction.
Data Source
AI summary
Provided is an image diagnostic device with which it is possible to correct location misalignment of an image capture subject, and to improve the reliability of the result of the correction, in time series image data. An image diagnostic device may include an input part (13) which receives image data input; a correction unit (14) which computes a correction vector which denotes location misalignment of an image capture subject, and selects image data used with an image correction unit; an image correction part (20) which carries out a correction process on the image data based on the correction vector and creates corrected image data; a control part (21) which controls the correction unit and the image correction part; a memory (22) which stores the corrected image data and measurement data as stored data; an output unit (23) which outputs the stored data externally; a display unit (24) which displays the stored data; and an external input device (30) where an operator makes an input operation.