Performance analysis for Bayesian microwave imaging in decision aided breast tumor diagnosis

Published

Conference Paper

© 2002 IEEE. In this paper the Markov Random Field is used to model the breast permittivity cross section as a propagating medium, and incorporate it into the forward Electromagnetic (EM) propagation to predict the random field of the EM measurements at a received array of sensors. Given these EM field measurements, Bayesian approaches are then developed to compute the likelihood ratio for tumor detection and the a posteriori probability display of tumor localization. Quantitative performance evaluations using simulations demonstrate the advantage of using the Bayesian approach to directly process the measurement data as compared to using the Bayesian or threshold approaches to detect and localize the tumor based on the reconstructed permittivity image.

Full Text

Duke Authors

Cited Authors

  • Sha, L; Nolte, LW; Zhang, ZQ; Liu, QH

Published Date

  • January 1, 2002

Published In

Volume / Issue

  • 2002-January /

Start / End Page

  • 1039 - 1042

Electronic International Standard Serial Number (EISSN)

  • 1945-8452

International Standard Serial Number (ISSN)

  • 1945-7928

International Standard Book Number 10 (ISBN-10)

  • 078037584X

Digital Object Identifier (DOI)

  • 10.1109/ISBI.2002.1029442

Citation Source

  • Scopus