Accession Number:

ADA413287

Title:

Combining Clinical, Sonographic, and Elastographic Features to Improve the Detection of Prostate Cancer

Descriptive Note:

Final rept. 16 Nov 1998-15 Nov 2002

Corporate Author:

VERMONT UNIV BURLINGTON

Personal Author(s):

Report Date:

2002-12-01

Pagination or Media Count:

38.0

Abstract:

The goal of this project is to combine features derived from ultrasound US images, US radio frequency RF data, tissue elasticity imaging, and clinical data such as PSA into a computerized system for displaying prostate images that indicate probable locations of cancer RF data are acquired from in-vitro prostatectomy specimens in cross sectional planes 2mm apart. These data are used to calculate RF features such as backscatter coefficient and are also used to generate images and elastograms from which image texture features and tissue strain are computed. These features are correlated with histology from the same location in the prostate to determine which feature combinations accurately predict the presence of cancer.

Subject Categories:

  • Medicine and Medical Research
  • Acoustics
  • Optics
  • Radiofrequency Wave Propagation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE