ArticlePhysics in medicine and biology2017
Optimization of digital breast tomosynthesis (DBT) acquisition parameters for human observers: effect of reconstruction algorithms.
Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Deep Learning in Digital Breast Tomosynthesis: Current Status, Challenges, and Future Trends.MedComm · 2025Review
- Examining the influence of digital phantom models in virtual imaging trials for tomographic breast imaging.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Comparison of lesion detection and conspicuity between narrow-angle and wide-angle digital breast tomosynthesis for dense and non-dense breasts.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Article
- Medical image quality metrics for foveated model observers.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- [Assessment of imaging performance of digital breast tomosynthesis based on systematic simulation].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021Article
- Foveated Model Observers for Visual Search in 3D Medical Images.IEEE transactions on medical imaging · 2021Article
- Computational reader design and statistical performance evaluation of anJournal of medical imaging (Bellingham, Wash.) · 2020Article
- Article
- Optimization of the difference-of-Gaussian channel sets for the channelized Hotelling observer.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial.JAMA network open · 2018Article
- Virtual assessment of stereoscopic viewing of digital breast tomosynthesis projection images.Journal of medical imaging (Bellingham, Wash.) · 2018Article
- The role of extra-foveal processing in 3D imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2017Article
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3 authors.
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Abstract
We showed in our earlier work that the choice of reconstruction methods does not affect the optimization of DBT acquisition parameters (angular span and number of views) using simulated breast phantom images in detecting lesions with a channelized Hotelling observer (CHO). In this work we investigate whether the model-observer based conclusion is valid when using humans to interpret images. We used previously generated DBT breast phantom images and recruited human readers to find the optimal geometry settings associated with two reconstruction algorithms, filtered back projection (FBP) and simultaneous algebraic reconstruction technique (SART). The human reader results show that image quality trends as a function of the acquisition parameters are consistent between FBP and SART reconstructions. The consistent trends confirm that the optimization of DBT system geometry is insensitive to the choice of reconstruction algorithm. The results also show that humans perform better in SART reconstructed images than in FBP reconstructed images. In addition, we applied CHOs with three commonly used channel models, Laguerre-Gauss (LG) channels, square (SQR) channels and sparse difference-of-Gaussian (sDOG) channels. We found that LG channels predict human performance trends better than SQR and sDOG channel models for the task of detecting lesions in tomosynthesis backgrounds. Overall, this work confirms that the choice of reconstruction algorithm is not critical for optimizing DBT system acquisition parameters.
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