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Digital Breast Tomosynthesis: Technique and Common Artifacts
Author(s) -
YiChen Lai,
Kimberly M. Ray,
James G. Mainprize,
Tatiana Kelil,
Bonnie N. Joe
Publication year - 2020
Publication title -
journal of breast imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 3
eISSN - 2631-6129
pISSN - 2631-6110
DOI - 10.1093/jbi/wbaa086
Subject(s) - tomosynthesis , digital breast tomosynthesis , computer vision , artificial intelligence , computer science , pixel , detector , image resolution , iterative reconstruction , mammography , medicine , cancer , breast cancer , telecommunications
Image optimization at digital breast tomosynthesis (DBT) involves a series of trade-offs between multiple variables. Wider sweep angles provide better separation of overlapping tissues, but they result in decreased in-plane resolution as well as increased scan times that may be prone to patient motion. Techniques to reduce scan time, such as continuous tube motion and pixel binning during detector readout, reduce the chances of patient motion but may degrade the in-plane resolution. Image artifacts are inherent to DBT because of the limited angular range of the acquisition. Iterative reconstruction algorithms have been shown to reduce various DBT artifacts.

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