Simulation and phantom studies of Contrast-Enhanced Dual Energy Mammography (CEDEM)

Shih Ying Huang, John M. Boone, Dandan Zheng, Kai Yang, Nathan J. Packard, George Burkett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


Contrast-enhanced dual energy mammography (CEDEM) has been shown effective in enhancing the visibility of breast cancer in diagnostic mammographic images. The simulation and phantom studies of CEDEM were implemented to enhance acquisition techniques of a dedicated cone-beam breast CT scanner fabricated in our laboratory. CEDEM images were computer-simulated numerically, and the results were compared and validated with physical experiments using a custom-made breast-equivalent phantom with pseudo anatomical structures. The technique factors to be optimized included low- and high-energy x-ray spectra (kVp), spectra filters and mAs (x-ray tube current × scan time in second). Signal-difference-to-noise ratio (SDNR) of the log-weighted subtracted image was computed to optimize subtraction parameters using several combinations of breast compositions and thicknesses. Both simulation and phantom studies suggest that 40 kVp (filtered with 1.5 mm Al) and 50 kVp (filtered with 1.5 mm Al and 0.3 mm Cu) were the optimal spectra with the highest SDNR on the dual energy subtracted image of a 6-cm, 50% glandular breast. Breast composition and thickness were found to have little influence on the optimized technique factors. We conclude that the simulation and phantom studies demonstrated the effectiveness of CEDEM using the prototype breast CT scanner in producing high-quality, lesion-enhanced images.

Original languageEnglish (US)
Title of host publicationDigital Mammography - 9th International Workshop, IWDM 2008, Proceedings
Number of pages6
StatePublished - 2008
Externally publishedYes
Event9th International Workshop on Digital Mammography, IWDM 2008 - Tucson, AZ, United States
Duration: Jul 20 2008Jul 23 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5116 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th International Workshop on Digital Mammography, IWDM 2008
Country/TerritoryUnited States
CityTucson, AZ


  • Anatomical breast phantom
  • Computer simula-tion
  • Contrast-enhanced dual energy mammography

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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