Paper
6 July 2018 Impact of angular range of digital breast tomosynthesis on mass detection in dense breasts
Author Affiliations +
Proceedings Volume 10718, 14th International Workshop on Breast Imaging (IWBI 2018); 107181V (2018) https://doi.org/10.1117/12.2318243
Event: The Fourteenth International Workshop on Breast Imaging, 2018, Atlanta, Georgia, United States
Abstract
The detection of cancerous mass lesions using digital breast tomosynthesis (DBT) has been shown to be limited in patients with dense breasts. Detection may potentially be improved by increasing the DBT angular range (AR), which reduces breast structural noise and increases object contrast in the reconstructed slice. We investigate the impact of DBT AR on the detection of masses in a simulation study using a cascaded linear system model (CLSM) for DBT. We compare the mass conspicuity between wide- and narrow-AR DBT system in a clinical pilot study. The simulation results show reduced in-plane breast structural noise and increased in-plane detectability of masses with increasing AR. The clinical results show that masses are more conspicuous in wide-AR DBT than narrow-AR DBT. Our study indicates that the detection of mass lesions in dense breasts can be improved by increasing DBT AR.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David A. Scaduto, Hailiang Huang, Chunling Liu, Kim Rinaldi, Axel Hebecker, Thomas Mertelmeier, Sebastian Vogt, Paul Fisher, and Wei Zhao "Impact of angular range of digital breast tomosynthesis on mass detection in dense breasts", Proc. SPIE 10718, 14th International Workshop on Breast Imaging (IWBI 2018), 107181V (6 July 2018); https://doi.org/10.1117/12.2318243
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Digital breast tomosynthesis

Breast

Autoregressive models

Mammography

Reconstruction algorithms

Tissues

Cancer

Back to Top