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

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Breast Imaging (IWDM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9699))

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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.

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Acknowledgments

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

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Authors and Affiliations

  1. Department of Radiology, Stony Brook Medicine, Stony Brook, NY, 11794, USA

    David A. Scaduto, Hailiang Huang, Kim Rinaldi, Gene Gindi, Paul R. Fisher & Wei Zhao

  2. Division of Medical Physics and Biophysics, Department of Radiation Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, 02115, USA

    Yue-Houng Hu

  3. Departments of Radiology and Biomedical Engineering, Yale University, New Haven, CT, 06520, USA

    Yihuan Lu

  4. Department of Pathology, Stony Brook Medicine, Stony Brook, NY, 11794, USA

    Jingxuan Liu

Authors
  1. David A. Scaduto
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  2. Yue-Houng Hu
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  3. Yihuan Lu
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  4. Hailiang Huang
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  5. Jingxuan Liu
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  6. Kim Rinaldi
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  7. Gene Gindi
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  8. Paul R. Fisher
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  9. Wei Zhao
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Corresponding author

Correspondence to David A. Scaduto .

Editor information

Editors and Affiliations

  1. Lund Univ. and Skåne University Hospital, Sweden

    Anders Tingberg

  2. Lund Univ. and Unilabs, Malmö, Sweden

    Kristina Lång

  3. Lund Univ. and Skåne University Hospital, Malmö, Sweden

    Pontus Timberg

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Scaduto, D.A. et al. (2016). Dependence of Contrast-Enhanced Lesion Detection in Contrast-Enhanced Digital Breast Tomosynthesis on Imaging Chain Design. In: Tingberg, A., Lång, K., Timberg, P. (eds) Breast Imaging. IWDM 2016. Lecture Notes in Computer Science(), vol 9699. Springer, Cham. https://doi.org/10.1007/978-3-319-41546-8_18

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  • DOI: https://doi.org/10.1007/978-3-319-41546-8_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41545-1

  • Online ISBN: 978-3-319-41546-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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