ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2018
[Low-dose digital breast tomosynthsis imaging via noise correlation based penalized weighted least-squares algorithm].
Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Artificial Intelligence Algorithm-Based Computed Tomography Image of Both Kidneys in Diagnosis of Renal Dysplasia.Computational and mathematical methods in medicine · 2022Trial
- [Key technologies in digital breast tomosynthesis system:theory, design, and optimization].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2019Article
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Authors and funding
5 authors.
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Abstract
objectiveTo achieve low-dose digital breast tomosynthsis (DBT) projection recovery using penalized weighted least square algorithm incorporating accurate modeling of the variance of the projection data and noise correlation in the flat panel detector.
methodsModels were established for the quantal noise and electronic noise in the DBT system to construct the penalized weighted least squares algorithm based on noise correlation for projection data restoration. The filter back projection algorithm was then used for DBT image reconstruction.
resultsThe reconstruction results of the ACR phantom data at different dose levels showed a good performance of the proposed method in noise suppression and detail preservation. CNRs and LSNRs of the reconstructed images from the restored projections were increased by about 3.6 times compared to those of reconstructed images from the original projections.
conclusionsThe proposed method can significantly reduce noise and improve the quality of DBT images.
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