Tissue-Equivalent Phantom for Mammography Publications

Click on the links below to view on the journal website.

Milanfar P. Super-resolution imaging. CRC Press; 2011:394-396. View

 

Shafer CM, Samei E, Lo JY. The quantitative potential for breast tomosynthesis imaging. Medical Physics. 2010;37(3). View

 

Pachoud M. Development of a test object for an objective assessment of image quality in conventional or digital mammography. 2002; 219-225. View

 

Nassivera E, Nardin L. Daily quality control programme in mammography. Br J Radiol. 1996; 69(818):148-152. View

 

Skubic SE. The effect of breast composition on absorbed dose and image contrast. Medical Physics. 1989; 16(4). View

 

Fatouros PP, et al. Development and Use of Realistically Shaped Tissue Equivalent Phantoms for assessing the Mammographic Process. Presented at 74th Scientific Assembly and Annual Meeting of the Radiological Society of North America, Chicago IL,1988.

 

Hu YH, Zhao W. The effect of angular dose distribution on the detection of microcalcifications in digital breast tomosynthesis. Med Phys. 2011;38(5):2455-66. View

 

Youn, Hanbean, Jong Chul Han, Seungman Yun, Soohwa Kam, Seungryong Cho, and Ho Kyung Kim. “Characterization of On-site Digital Mammography Systems: Direct versus Indirect Conversion Detectors.” Journal of the Korean Physical Society 66.12 (2015): 1926-935. Web. View

 

Izdihar K, Kanaga KC, Krishnapillai V, Sulaiman T. Determination of Tube Output (kVp) and Exposure Mode for Breast Phantom of Various Thicknesses/Glandularity for Digital Mammography. Malays J Med Sci. 2015;22(1):40-9. View

 

Baptista M, Di maria S, Barros S, et al. Dosimetric characterization and organ dose assessment in digital breast tomosynthesis: Measurements and Monte Carlo simulations using voxel phantoms. Med Phys. 2015;42(7):3788-800. View

 

Zhao, A., M. Santana, E. Samei, and J. Lo. “Comparison of Effects of Dose on Image Quality in Digital Breast Tomosynthesis across Multiple Vendors.” Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101324E, 2017. Web. View

 

Marimón, E., H. Nait-Charif, A. Khan, P. Marsden and O. Diaz. ” Scatter reduction for grid-less mammography using the convolution-based image post-processing technique “, Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101324D (March 9, 2017); View