Dynamic Contrast-Enhanced Digital Breast Tomosynthesis

Abstract

Contrast-enhanced digital breast tomosynthesis (CE-DBT) is a novel x-ray imaging technique that produces a 3D representation of the breast vasculature via an intravenous contrast agent. CE-DBT offers a combination of excellent spatial resolution and accurate functional information, suggesting a strong potential role in disease prognostication. We are developing an innovative technique for obtaining dynamic contrast-enhanced (DCE) images with high spatial and temporal resolution. Our objective is to demonstrate, in proof-of-principle, that 4D DCE-DBT is technically feasible and that the derived data accurately measures vascular dynamics. Current contrast-enhanced DBT systems produces images at 2-3 fixed time points. Our proposed acquisition technique is capable of producing perfusion images at 30-60 time points for the same radiation dose. The method is compatible with both temporal and dual-energy subtraction methods. Reconstruction is performed using one full set of sequentially-acquired images; however, unlike conventional DBT, the starting angle (and hence measurement time point) is arbitrary in our method. The resulting 4D data set consists of many time-resolved 3D functional measurements of tumor perfusion, offering the potential for superior lesion characterization and hence diagnostic accuracy.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2012
Accession Number
ADA568012

Entities

People

  • Andrew Maidment

Organizations

  • University of Pennsylvania

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Biomedical Research
  • Breast Cancer
  • Contrast
  • Data Sets
  • Department Of Defense
  • Detectors
  • Fabrication
  • Imaging Techniques
  • Measurement
  • Perfusion
  • Thickness
  • Tomosynthesis
  • X Ray Spectra
  • X Rays
  • X-Ray Detectors

Fields of Study

  • Medicine
  • Physics

Readers

  • Approximation Theory.
  • Oncology and Biomarker-Based Cancer Detection.
  • Optical Physics and Photonics.