Optimization of Tomosynthesis Imaging for Improved Mass and Microcalcification Detection in the Breast

Abstract

Although considerable progress has been made for the breast tomosynthesis, there are still some issues should be addressed before it becomes suitable for routine clinical use: (1) development of accurate and efficient algorithms for reconstructing 3D breast images from tomosynthesis data, (2) the effect of various physical factors on image quality. During the first year of this research, we have implemented and investigated the TV-based algorithm for image reconstruction in breast tomosynthesis, and investigated the convergence property of the TV-based algorithm under different data conditions and different constraint parameters. We have also conducted numerical studies to investigate the image reconstruction by use of the TV-based algorithm and the existing EM and ART algorithms for different imaging configurations in breast tomosynthesis. Furthermore, we have investigated some physical factors such as cone-beam data noise and non-isotropic spatial resolution on tomosynthesis images.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2007
Accession Number
ADA470299

Entities

People

  • Dan Xia

Organizations

  • University of Chicago

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Convergence
  • Coordinate Systems
  • Data Sets
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Gaussian Noise
  • Image Processing
  • Image Reconstruction
  • Imaging Techniques
  • Numerical Analysis
  • Stochastic Processes
  • Three Dimensional
  • Tomography
  • Tomosynthesis
  • X Rays

Fields of Study

  • Medicine
  • Physics

Readers

  • Computer Vision.
  • Medical Imaging.
  • Oncology and Biomarker-Based Cancer Detection.