ArticleRadiology2014
Digital breast tomosynthesis: observer performance of clustered microcalcification detection on breast phantom images acquired with an experimental system using variable scan angles, angular increments, and number of projection views.
Article in Radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- A Novel Phantom for Standardized Microcalcification Detection Developed Using a Crystalline Growth System.Tomography (Ann Arbor, Mich.) · 2025Article
- Article
- Evolution of tomosynthesis.Journal of medical imaging (Bellingham, Wash.) · 2025Review
- Digital breast tomosynthesis system concept addressing the needs in breast cancer screening and diagnosis.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- X-ray source motion blur modeling and deblurring with generative diffusion for digital breast tomosynthesis.Physics in medicine and biology · 2024Article
- Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach.Physics in medicine and biology · 2023Article
- Deep learning denoising of digital breast tomosynthesis: Observer performance study of the effect on detection of microcalcifications in breast phantom images.Medical physics · 2023Article
- 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
- Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images.IEEE transactions on medical imaging · 2021Article
- Computational reader design and statistical performance evaluation of anJournal of medical imaging (Bellingham, Wash.) · 2020Article
- Determining the Optimal Angular Range of the X-Ray Source Motion in Tomosynthesis Using Virtual Clinical Trials.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Proposing Rapid Source Pulsing for Improved Super-Resolution in Digital Breast Tomosynthesis.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Imaging of fiber-like structures in digital breast tomosynthesis.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Initial clinical evaluation of stationary digital chest tomosynthesis in adult patients with cystic fibrosis.European radiology · 2019Article
- Synthesizing mammogram from digital breast tomosynthesis.Physics in medicine and biology · 2019Article
- Personalization of X-Ray Tube Motion in Digital Breast Tomosynthesis Using Virtual Defrise Phantoms.Proceedings of SPIE--the International Society for Optical Engineering · 2019Article
- Analysis of Volume Overestimation Artifacts in the Breast Outline Segmentation in Tomosynthesis.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
- Detector Blur and Correlated Noise Modeling for Digital Breast Tomosynthesis Reconstruction.IEEE transactions on medical imaging · 2018Article
- Improving image quality for digital breast tomosynthesis: an automated detection and diffusion-based method for metal artifact reduction.Physics in medicine and biology · 2017Article
- Optimization of digital breast tomosynthesis (DBT) acquisition parameters for human observers: effect of reconstruction algorithms.Physics in medicine and biology · 2017Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
purposeTo investigate the dependence of microcalcification cluster detectability on tomographic scan angle, angular increment, and number of projection views acquired at digital breast tomosynthesis ( DBT digital breast tomosynthesis ). MATERIALS AND
methodsA prototype DBT digital breast tomosynthesis system operated in step-and-shoot mode was used to image breast phantoms. Four 5-cm-thick phantoms embedded with 81 simulated microcalcification clusters of three speck sizes (subtle, medium, and obvious) were imaged by using a rhodium target and rhodium filter with 29 kV, 50 mAs, and seven acquisition protocols. Fixed angular increments were used in four protocols (denoted as scan angle, angular increment, and number of projection views, respectively: 16°, 1°, and 17; 24°, 3°, and nine; 30°, 3°, and 11; and 60°, 3°, and 21), and variable increments were used in three (40°, variable, and 13; 40°, variable, and 15; and 60°, variable, and 21). The reconstructed DBT digital breast tomosynthesis images were interpreted by six radiologists who located the microcalcification clusters and rated their conspicuity.
resultsThe mean sensitivity for detection of subtle clusters ranged from 80% (22.5 of 28) to 96% (26.8 of 28) for the seven DBT digital breast tomosynthesis protocols; the highest sensitivity was achieved with the 16°, 1°, and 17 protocol (96%), but the difference was significant only for the 60°, 3°, and 21 protocol (80%, P < .002) and did not reach significance for the other five protocols (P = .01-.15). The mean sensitivity for detection of medium and obvious clusters ranged from 97% (28.2 of 29) to 100% (24 of 24), but the differences fell short of significance (P = .08 to >.99). The conspicuity of subtle and medium clusters with the 16°, 1°, and 17 protocol was rated higher than those with other protocols; the differences were significant for subtle clusters with the 24°, 3°, and nine protocol and for medium clusters with 24°, 3°, and nine; 30°, 3°, and 11; 60°, 3° and 21; and 60°, variable, and 21 protocols (P < .002).
conclusionWith imaging that did not include x-ray source motion or patient motion during acquisition of the projection views, narrow-angle DBT digital breast tomosynthesis provided higher sensitivity and conspicuity than wide-angle DBT digital breast tomosynthesis for subtle microcalcification clusters.
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