Simplified PDHG step-size selection for multi-term convex problems is applied to wide-angle DBT reconstruction, yielding improved quantitative accuracy and depth resolution.
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math.OC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Two-stage sparsity-regularized reconstruction for wide-angle DBT augmented with background estimation to improve depth resolution, in-plane contrast, and uniformity, demonstrated on one patient case.
citing papers explorer
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Efficient primal-dual algorithm for imaging applications with matrix stacking, applied to DBT image reconstruction
Simplified PDHG step-size selection for multi-term convex problems is applied to wide-angle DBT reconstruction, yielding improved quantitative accuracy and depth resolution.
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Improving depth-resolution, in-plane contrast, and reducing non-uniformity artifacts for wide-angle DBT
Two-stage sparsity-regularized reconstruction for wide-angle DBT augmented with background estimation to improve depth resolution, in-plane contrast, and uniformity, demonstrated on one patient case.