Power Spectrum Analysis of an Anthropomorphic Breast Phantom Compared to Patient Data in 2D Digital Mammography and Breast Tomosynthesis

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• 作者：Lesley Cockmartin (16)
  Predrag R. Bakic (17)
  Hilde Bosmans (16)
  Andrew D. A. Maidment (17)
  Hunter Gall (18)
  Moustafa Zerhouni (18)
  Nicholas W. Marshall (16)
  
• 关键词：digital breast tomosynthesis ; digital mammography ; phantom ; breast structure ; power spectrum analysis
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8539
• 期：1
• 页码：423-429
• 参考文献：1. Pokrajac, D.D., Maidment, A.D.A., Bakic, P.R.: Optimized generation of high resolution breast anthropomorphic software phantoms. Med. Phys.?39(4), 2290-302 (2012) CrossRef
  2. 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. 284-91. Springer, Heidelberg (2012) CrossRef
  3. 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), 0189201-1892017 (2013)
  
• 作者单位：Lesley Cockmartin (16)
  Predrag R. Bakic (17)
  Hilde Bosmans (16)
  Andrew D. A. Maidment (17)
  Hunter Gall (18)
  Moustafa Zerhouni (18)
  Nicholas W. Marshall (16)
  
  16. Department of Imaging and Pathology, Division of Medical Physics and Quality Assessment, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
  17. Department of Radiology, University of Pennsylvania, 1 Silverstein Building HUP, 3400 Spruce Street, Philadelphia, PA, USA, 19104-4206
  18. Computerized Imaging Reference Systems (CIRS), Inc., 2428 Almeda Ave, Suite 316, Norfolk, Virginia, 23513, USA
  
• ISSN：1611-3349

文摘

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.