X-ray CT Reconstruction Weight Standardization for Artifact Reduction
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Solution Overview
Problem
Existing X-ray CT techniques fail to account for differences in the sum of weights for each projection angle, leading to artifacts in tomographic images due to varying noise levels across different angles.
Innovation Solution
An X-ray CT apparatus and method that calculates a reconstruction weight based on projection data, incorporating a reliability weight standardized using the sum of weight coefficients for each projection angle to reduce weight differences across angles, thereby minimizing artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If weight values are determined based on projection data for each view to reduce noise, then noise reduction is achieved, but a difference in the sum of weights for each projection angle occurs causing artifacts
Solution Approach 1:
The patent applies parameter changes by introducing a normalization step that transforms the weight values. Specifically, the weight for each projection data is divided by the sum of weights for that projection angle, converting absolute weight values into normalized weights that maintain relative importance while ensuring consistency across different projection angles. This parameter transformation resolves the contradiction by preserving noise reduction benefits while eliminating the artifact-causing weight sum differences.
2Manufacturing precision
If reconstruction weights are calculated to balance noise levels across projection angles, then image quality improves, but computational complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the weight calculation process into distinct stages: first calculating individual weights for each projection data based on noise characteristics, then separately computing the sum of weights for each projection angle, and finally performing normalization by dividing individual weights by their respective angle sums. This segmented approach improves image quality through comprehensive noise balancing while managing computational complexity by organizing calculations into modular, systematic steps.
Data Source
AI summary
Provided are an X-ray CT apparatus and a tomographic image generation method capable of reducing a difference in a sum of weights for each projection angle in a tomographic image.There is provided an X-ray CT apparatus including: a projection data acquisition unit configured to acquire projection data of a subject; a reconstruction weight calculation unit configured to calculate a reconstruction weight based on the projection data; and an image generation unit configured to generate a tomographic image while weighting the projection data with the reconstruction weight, in which the reconstruction weight calculation unit is configured to calculate a reconstruction weight, which includes a reliability weight indicating a degree of reliability of the projection data, through standardization using a sum of weight coefficients obtained for each projection angle.


