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Dependence of Contrast-Enhanced Lesion Detection in Contrast-Enhanced Digital Breast Tomosynthesis on Imaging Chain Design

  • David A. ScadutoEmail author
  • Yue-Houng Hu
  • Yihuan Lu
  • Hailiang Huang
  • Jingxuan Liu
  • Kim Rinaldi
  • Gene Gindi
  • Paul R. Fisher
  • Wei Zhao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9699)

Abstract

Contrast-enhanced digital breast tomosynthesis (CEDBT) may improve contrast-enhanced lesion conspicuity and relative contrast quantification by improving three-dimensional visualization of lesion morphology, and reducing the integration of attenuation information along the axial direction. Improved visualization of patterns of contrast-enhancement and improved iodine quantification may help differentiate between malignant and benign enhancing lesions. The dependence of dual-energy contrast-enhanced lesion detectability on imaging chain design is investigated. Lesion detectability and relative iodine quantification is comparable for subtraction in either reconstruction or projection domains for both phantom and patient images. SART generally produces greater SDNR than FBP, and scatter correcting projections further improves SDNR.

Keywords

Contrast-enhanced digital mammography Contrast-enhanced digital breast tomosynthesis Digital breast tomosynthesis X-ray imaging SDNR 

Notes

Acknowledgments

We gratefully acknowledge financial support from NIH (1 R01 CA148053 and 1 R01 EB002655), and Siemens Healthcare.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • David A. Scaduto
    • 1
    Email author
  • Yue-Houng Hu
    • 2
  • Yihuan Lu
    • 3
  • Hailiang Huang
    • 1
  • Jingxuan Liu
    • 4
  • Kim Rinaldi
    • 1
  • Gene Gindi
    • 1
  • Paul R. Fisher
    • 1
  • Wei Zhao
    • 1
  1. 1.Department of RadiologyStony Brook MedicineStony BrookUSA
  2. 2.Division of Medical Physics and Biophysics, Department of Radiation OncologyDana-Farber Cancer Institute and Harvard Medical SchoolBostonUSA
  3. 3.Departments of Radiology and Biomedical EngineeringYale UniversityNew HavenUSA
  4. 4.Department of PathologyStony Brook MedicineStony BrookUSA

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