BR3D Breast Imaging Phantom Publications
Click on the links below to view on the journal website.
Feng SSJ, Sechopoulos I. A Software-Based X-Ray Scatter Correction Method for Breast Tomosynthesis. Medical Physics. 2011; 38(12):6643-6653.
Taibi, A., et al., Lesion detectability in digital mammography and digital breast tomosynthesis: A Phantom Study. 2010; ECR Presentation B-823.
Y.-H. Hu, D. A. Scaduto, W. Zhao, “Optimization of clinical protocols for contrast enhanced breast imaging,” in SPIE Medical Imaging (International Society for Optics and Photonics, 2013), p. 86680G–86680G. View
Gomi, T. (2015) Comparison of Different Reconstruction Algorithms for Decreasing the Exposure Dose during Digital Breast Tomosynthesis: A Phantom Study. J. Biomedical Science and Engineering, 8, 471-478. View
Han S. A Quantification Method for Breast Tissue Thickness and Iodine Concentration Using Photon-Counting Detector. J Digit Imaging. 2015;28(5):594-603. View
Adam Wang ; Edward Shapiro ; Sungwon Yoon ; Arundhuti Ganguly ; Cesar Proano, et al.
” Asymmetric scatter kernels for software-based scatter correction of gridless mammography “, Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94121I (March 18, 2015); doi:10.1117/12.2081501; View
David A. Scaduto ; Min Yang ; Jennifer Ripton-Snyder ; Paul R. Fisher and Wei Zhao ” Digital breast tomosynthesis with minimal breast compression “, Proc. SPIE9412, Medical Imaging 2015: Physics of Medical Imaging, 94121Y (March 18, 2015); doi:10.1117/12.2081543; View
Malliori A, Bliznakova K, Bliznakov Z, Cockmartin L, Bosmans H, Pallikarakis N. Breast tomosynthesis using the multiple projection algorithm adapted for stationary detectors. J Xray Sci Technol. 2016;24(1):23-41. View
Scaduto, D, et al. “Dependence of Contrast-Enhanced Lesion Detection in Contrast-Enhanced Digital Breast Tomosynthesis on Imaging Chain Design.” Springer Link, 17 June 2016. Web. View