@inproceedings{0fab73f31ee94271afbb827b762c6d5d,
title = "Dependence of contrast-enhanced lesion detection in contrast-enhanced digital breast tomosynthesis on imaging chain design",
abstract = "Contrast-enhanced digital breast tomosynthesis (CEDBT) may improve contrast-enhanced lesion conspicuity and relative contrast quantification by improving three-dimensional visualization of lesion morphology, and reducing the integration of attenuation information along the axial direction. Improved visualization of patterns of contrast-enhancement and improved iodine quantification may help differentiate between malignant and benign enhancing lesions. The dependence of dual-energy contrast-enhanced lesion detectability on imaging chain design is investigated. Lesion detectability and relative iodine quantification is comparable for subtraction in either reconstruction or projection domains for both phantom and patient images. SART generally produces greater SDNR than FBP, and scatter correcting projections further improves SDNR.",
keywords = "Contrast-enhanced digital breast tomosynthesis, Contrast-enhanced digital mammography, Digital breast tomosynthesis, SDNR, X-ray imaging",
author = "Scaduto, \{David A.\} and Hu, \{Yue Houng\} and Yihuan Lu and Hailiang Huang and Jingxuan Liu and Kim Rinaldi and Gene Gindi and Fisher, \{Paul R.\} and Wei Zhao",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 13th International Workshop on Breast Imaging, IWDM 2016 ; Conference date: 19-06-2016 Through 22-06-2016",
year = "2016",
doi = "10.1007/978-3-319-41546-8\_18",
language = "English",
isbn = "9783319415451",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "136--144",
editor = "Kristina Lang and Anders Tingberg and Pontus Timberg",
booktitle = "Breast Imaging - 13th International Workshop, IWDM 2016, Proceedings",
}