ArticleJournal of medical imaging (Bellingham, Wash.)2016
Use of the Hotelling observer to optimize image reconstruction in digital breast tomosynthesis.
Article in Journal of medical imaging (Bellingham, Wash.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Improving depth-resolution, in-plane contrast, and reducing non-uniformity artifacts for wide-angle DBT.ArXiv · 2026Article
- Imaging of fiber-like structures in digital breast tomosynthesis.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Investigating simulation-based metrics for characterizing linear iterative reconstruction in digital breast tomosynthesis.Medical physics · 2017Article
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Authors and funding
3 authors.
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Abstract
We propose an implementation of the Hotelling observer that can be applied to the optimization of linear image reconstruction algorithms in digital breast tomosynthesis. The method is based on considering information within a specific region of interest, and it is applied to the optimization of algorithms for detectability of microcalcifications. Several linear algorithms are considered: simple back-projection, filtered back-projection, back-projection filtration, and [Formula: see text]-tomography. The optimized algorithms are then evaluated through the reconstruction of phantom data. The method appears robust across algorithms and parameters and leads to the generation of algorithm implementations which subjectively appear optimized for the task of interest.
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Registered trials
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