X-Ray Phase Imaging for Breast Cancer Detection

Abstract

The long term objective of the project is to develop a low-dose and quantitative phase x-ray imaging technique for facilitating breast cancer detection. In this period we have accomplished following tasks: (1) We compared the robustness of the phase retrievals with two phase-retrieval methods, as the common TIE-based method vs. the AP-based method that we developed, by analyzing the phase maps retrieved from the experimental images of a phantom. The AP-based method is shown in the experiment to be superior to the TIE-based method for the robustness in performing the phase retrieval. (2) We conducted phantom imaging studies with 100 kVp-140 kVp tube voltages and performed the phase retrievals to retrieve phantom phase maps for fully exhibiting the phase contrast and providing quantitative information on the phantom electron densities. The results of the study show that the phase contrast exhibited in the retrieved phase maps compensates for the attenuation-contrast loss associated with the high tube-voltages, and with these techniques the radiation doses are reduced and quantitative information on the phantom projective electron densities is obtained. In the coming no-cost extension period, We plan to further optimize the design trade-off in image detection for achieving more large radiation dose reductions and refine our phase retrieval method for higher retrieval accuracies.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2011
Accession Number
ADA554549

Entities

People

  • Xizeng Wu

Organizations

  • University of Alabama

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Breast Cancer
  • Detection
  • Detectors
  • Electron Density
  • Electronic Mail
  • Electrons
  • High Resolution
  • Imaging Techniques
  • Neoplasms
  • Radiation
  • Radiography
  • Scattering
  • Three Dimensional
  • Tomography
  • X Rays

Fields of Study

  • Physics

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Medical Imaging.
  • Nuclear Civil Defense.

Technology Areas

  • Microelectronics