Abstract
Digital breast tomosynthesis (DBT) images of a novel anthropomorphic breast phantom (UPenn phantom) acquired on two breast tomosynthesis systems were analyzed in terms of their power spectra (PS). The β and κ power law coefficients were estimated from 2D planar, tomosynthesis projection images and reconstructed planes. These data were compared to the PS characteristics as retrieved from a group of patient data. Power spectra of the UPenn phantom images were very similar to the patient data, with power law parameters in the range of values found in patients. Power law exponents were 2.99 and 3.45 for 2D, 2.87 and 2.75 for DBT projections and, 1.92 and 3.10 for DBT reconstructions for the Siemens and Hologic system respectively. The agreement was better than with other (non-anthropomorphic) 3D structured phantoms, making this phantom a good candidate test object for DBT performance testing.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Pokrajac, D.D., Maidment, A.D.A., Bakic, P.R.: Optimized generation of high resolution breast anthropomorphic software phantoms. Med. Phys. 39(4), 2290–2302 (2012)
Brunner, C.C., Acciavatti, R.J., Bakic, P.R., Maidment, A.D.A., Williams, M.B., Kaczmarek, R., Chakrabarti, K.: Evaluation of various mammography phantoms for image quality assessment in digital breast tomosynthesis. In: Maidment, A.D.A., Bakic, P.R., Gavenonis, S. (eds.) IWDM 2012. LNCS, vol. 7361, pp. 284–291. Springer, Heidelberg (2012)
Cockmartin, L., Bosmans, H., Marshall, N.W.: Comparative power law analysis of structured breast phantom and patient images in digital mammography and breast tomosynthesis. Med. Phys. 40(8), 0189201–01892017 (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Cockmartin, L. et al. (2014). Power Spectrum Analysis of an Anthropomorphic Breast Phantom Compared to Patient Data in 2D Digital Mammography and Breast Tomosynthesis. In: Fujita, H., Hara, T., Muramatsu, C. (eds) Breast Imaging. IWDM 2014. Lecture Notes in Computer Science, vol 8539. Springer, Cham. https://doi.org/10.1007/978-3-319-07887-8_59
Download citation
DOI: https://doi.org/10.1007/978-3-319-07887-8_59
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07886-1
Online ISBN: 978-3-319-07887-8
eBook Packages: Computer ScienceComputer Science (R0)