Rapid, High Resolution 3-D Ultrasound Tomography

Abstract

Ultrasonic transmission tomography holds out the hope of being a discriminating tool for breast cancer screening that is safe, comfortable, and inexpensive. From its inception, however, this imaging modality has been plagued by the problem of how to quickly and inexpensively obtain the data necessary for the tomographic reconstruction. The specific aim of this research is to determine how best to adapt a new microfabricated ultrasonic sensor (currently under development for defense applications) into a breast cancer screening tool. The sensor converts an acoustic wavefront into a modulated optical signal over an entire imaging plane. Using this device, it should be possible to obtain the data necessary for 3D imaging of a breast in a short time, without ionizing radiation, and without the need for compression of the breast. The research for the first year has focused on refinement of the sensor design and development of reconstruction algorithms. In this first year, we have automated the acquisition of the data, increased the speed of data acquisition by a factor of 100, increased the robustness of the sensor, incorporated a rotation stage in our test tank, and acquired and imaged diffraction tomographic data from a phantom.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2000
Accession Number
ADB263708

Entities

People

  • Jeffrey S. Kallman

Organizations

  • Lawrence Livermore National Laboratory

Tags

Communities of Interest

  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Breast Cancer
  • Cameras
  • Cancer Screening
  • Data Acquisition
  • Detectors
  • Diagnostic Imaging
  • Diffraction
  • High Resolution
  • Ionizing Radiation
  • Refraction
  • Refractive Index
  • Three Dimensional
  • Tomography
  • Ultrasounds
  • Waveform Generators

Fields of Study

  • Medicine
  • Physics

Readers

  • Oncology and Biomarker-Based Cancer Detection.
  • Optical Physics and Photonics.
  • Wave Propagation and Nonlinear Chaotic Dynamics.