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

David A. Scaduto; Yue-Houng Hu; Yihuan Lu; Hailiang Huang; Jingxuan Liu; Kim Rinaldi; Gene Gindi; Paul R. Fisher; Wei Zhao

doi:10.1007/978-3-319-41546-8_18

International Workshop on Digital Mammography

IWDM 2016: Breast Imaging pp 136-144

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

Authors
Authors and affiliations

David A. ScadutoEmail author
Yue-Houng Hu
Yihuan Lu
Hailiang Huang
Jingxuan Liu
Kim Rinaldi
Gene Gindi
Paul R. Fisher
Wei Zhao

Conference paper

First Online:: 17 June 2016

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

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Copyright information

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.Department of RadiologyStony Brook MedicineStony BrookUSA
2.Division of Medical Physics and Biophysics, Department of Radiation OncologyDana-Farber Cancer Institute and Harvard Medical SchoolBostonUSA
3.Departments of Radiology and Biomedical EngineeringYale UniversityNew HavenUSA
4.Department of PathologyStony Brook MedicineStony BrookUSA

About this paper

Cite this paper as:: 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

DOI 10.1007/978-3-319-41546-8_18
Publisher Name Springer, Cham
Print ISBN 978-3-319-41545-1
Online ISBN 978-3-319-41546-8
eBook Packages Computer Science

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

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