Ultrasound Activated Contrast Imaging for Prostate Cancer Detection

Abstract

The current project proposes to develop a novel ultrasound contrast imaging technique (called EEI) for better visualization of the microvessels, which are characteristic of the neovasculature associated with prostate cancer. The new zero-thickness interface model was used to simulate EEI. While results at an imaging frequency of 7.5 MHz were in reasonable agreement with measurements (3-4 dB enhancement), there, was no agreement for 3 MHz imaging (10 dB measured but no enhancement simulated). Further work is ongoing to improve upon the model. The pulse-echo system was used to perform in vitro EEI measurements at 7.5 MHz. Around 6 dB of enhancement was measured with Optison irrespective of temperature, whereas Sonazoid produced 6 dB of enhancement at 22 deg C and only 3 dB at 37 deg C. Finally, a Logiq 9 scanner with a 3.5C curved linear array and an AN2300 digital ultrasound engine with a P4-2 phased array transducer were modified to perform EEI on a vector-by-vector basis in fundamental and pulse inversion harmonic grayscale mode's. A flow phantom with contrast was imaged in vitro. While video intensities of scattered signals from the surrounding tissue were unchanged, video intensities of echoes from contrast bubbles within the vessel were markedly enhanced. The maximum enhancement achieved was 10.4 dB in harmonic mode.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2005
Accession Number
ADA439248

Entities

People

  • Flemming Forsberg

Organizations

  • Thomas Jefferson University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Arrays
  • Detection
  • Excitation
  • Frequency
  • Imaging Techniques
  • Intensity
  • Inversion
  • Linear Arrays
  • Measurement
  • Neoplasms
  • Phased Arrays
  • Prostate
  • Prostate Cancer
  • Pulse Amplitude
  • Scattering
  • Tissues
  • Transducers

Fields of Study

  • Medicine
  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Medical Imaging.
  • Radar Systems Engineering.