Tomographic Image Parameter Correction for Quality Preservation
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Solution Overview
Problem
Tomographic images generated from tomosynthesis imaging often suffer from deteriorated image quality due to the application of parameters derived from projection images, which are not suitable for the reconstruction process, leading to suboptimal image processing results.
Innovation Solution
An image processing apparatus and method that generates tomographic images from projection images captured at various angles, derives parameter values based on image analysis results after reconstruction processing, and corrects these parameters according to the reconstruction process used, enabling effective predetermined image processing such as frequency enhancement or gradation conversion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If parameter values are derived from projection images for image processing, then image processing can be performed on tomographic images, but image quality deteriorates due to the influence of the reconstruction process
Solution Approach 1:
The patent changes the parameter values used in image processing to account for the reconstruction process. Specifically, it derives parameter values from projection images and then corrects them based on the reconstruction process characteristics, ensuring that the parameters are appropriate for the final tomographic image quality requirements
Solution Approach 2:
The patent introduces a feedback mechanism where the reconstruction process information is fed back into the parameter derivation process. The correction unit uses reconstruction process data to adjust the parameter values, creating a closed-loop system that ensures parameter accuracy for the final image processing step
2Productivity
If predetermined image processing is performed using parameters from projection images, then processing efficiency is maintained, but the reconstruction process influence causes quality loss
Solution Approach 1:
The patent performs preliminary correction of parameter values before the final image processing step. By pre-correcting the parameters based on reconstruction process characteristics, the system ensures that subsequent image processing operations produce high-quality results without requiring iterative adjustments
Solution Approach 2:
The system dynamically adjusts parameter values based on the reconstruction process type and characteristics. Different reconstruction algorithms have different influences on image quality, so the parameter correction is tailored to match the specific reconstruction method used, maintaining both efficiency and quality
Data Source
AI summary
In a console according to an embodiment, a control unit functions as a generation unit that generates a tomographic image from a plurality of projection images, which have been captured by a radiation detector at each of a plurality of imaging positions with different irradiation angles, with radiation sequentially emitted from each of the plurality of imaging positions, using a reconstruction process. In addition, the control unit functions as a derivation unit that derives the degree of enhancement as a parameter value used in a frequency enhancement process which is an example of image processing for a tomographic image, on the basis of the image analysis result of a projection image corresponding to an irradiation angle of 0 degrees. Furthermore, the control unit functions as a correction unit that corrects the parameter value according to image processing used in the reconstruction process and an image processing unit that performs the image processing on a tomographic image on the tomographic image using the corrected parameter value.