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Proceedings Article

Dual-energy digital mammography for calcification imaging: improvement by post-image processing

[+] Author Affiliations
S. C. Kappadath, Chris C. Shaw, Chao-Jen Lai, Xinming Liu, Gary J. Whitman, Wei T. Yang

Univ. of Texas M. D. Anderson Cancer Ctr. (USA)

Proc. SPIE 5745, Medical Imaging 2005: Physics of Medical Imaging, 1342 (August 30, 2005); doi:10.1117/12.596903
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From Conference Volume 5745

  • Medical Imaging 2005: Physics of Medical Imaging
  • Michael J. Flynn
  • San Diego, CA | February 12, 2005

abstract

Overlapping fibroglandular tissue structures may obscure small calcifications, essential to the early detection of breast cancer. Dual-energy digital mammography (DEDM), where separate low- and high-energy images are acquired and synthesized to cancel the tissue structures, may improve the ability to detect and visualize calcifications amidst fibroglandular structures. We have developed and implemented a DEDM technique under full-field imaging conditions using a commercially available flat-panel based digital mammography system. We have developed techniques to suppress residual structures due to scatter contamination and non-uniformity in the x-ray field and detector response in our DEDM implementation. The total mean-glandular dose from the low- and high-energy images was constrained to be similar to screening examination levels. The low- and high-energy images were combined using a calibrated nonlinear (cubic) mapping function to generate the calcification images. To evaluate the dual-energy calcification images, we have designed a special phantom with calcium carbonate crystals to simulate calcifications of different sizes superimposed with a 5 cm thick breast-tissue-equivalent material with a continuously varying glandular-tissue ratio from 0.0 to 1.0. The suppression of tissue-structure background by dual-energy imaging comes with the cost of increased noise in the dual-energy images. We report on the effects of different image processing techniques on the dual-energy image signal and noise levels. The effects of image processing on the calcification contrast-to-noise ratios are also presented.

© (2005) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

S. C. Kappadath ; Chris C. Shaw ; Chao-Jen Lai ; Xinming Liu ; Gary J. Whitman, et al.
"Dual-energy digital mammography for calcification imaging: improvement by post-image processing", Proc. SPIE 5745, Medical Imaging 2005: Physics of Medical Imaging, 1342 (August 30, 2005); doi:10.1117/12.596903; http://dx.doi.org/10.1117/12.596903


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