Tomosynthesis Boundary Artifact Reduction via Geometric Factor Matrix Adjustment
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Solution Overview
Problem
Boundary artifacts in tomosynthesis imaging occur due to insufficient scanning samples, leading to truncation errors and affecting clinical diagnosis, particularly in areas like the shoulder blade during chest scans.
Innovation Solution
The method involves adjusting the geometric factor matrix during image reconstruction by performing a projection process, obtaining a back-projection geometric factor matrix, and modifying the boundary area through interpolation and normalization to reduce truncation errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the number of scanning samples is reduced to lower radiation dose, then radiation exposure is minimized, but boundary artifacts increase due to insufficient sampling
Solution Approach 1:
The patent modifies the geometric factor matrix by adjusting parameters in the boundary area through interpolation and normalization processes. This changes the mathematical parameters of the reconstruction system to compensate for insufficient sampling, thereby reducing boundary artifacts while maintaining lower radiation doses.
Solution Approach 2:
The patent introduces an intermediary processing step on the geometric factor matrix that mediates between the limited sampling data and the final reconstructed image. By processing the geometric factor matrix as an intermediate representation, the system can correct boundary artifacts without requiring additional scanning samples.
2Loss of time
If fewer angular imaging operations are performed to reduce imaging time, then imaging time is reduced, but truncation errors increase at the boundary
Solution Approach 1:
The patent performs preliminary processing on the geometric factor matrix before the actual image reconstruction. By pre-calculating and normalizing the geometric factors, the system prepares correction data in advance that compensates for the limited angular sampling, thereby reducing truncation errors without requiring additional imaging time.
3Productivity
If direct reconstruction methods are used to achieve rapid image reconstruction, then reconstruction speed is improved, but resolution is sacrificed
Solution Approach 1:
The patent segments the reconstruction process into two parts: a rapid direct reconstruction step and a subsequent geometric factor matrix correction step. This segmentation allows the system to benefit from the speed of direct methods while adding a targeted correction process that improves resolution in the boundary area where artifacts occur.
Data Source
AI summary
A reduction method for a boundary artifact on the tomosynthesis includes steps of performing a projection process, performing a back projection process upon the geometric factor matrix so as to obtain a back-projection geometric factor matrix, and adjusting a boundary area of the back-projection geometric factor matrix.


