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International Journal of Biomedical Imaging
Volume 2012 (2012), Article ID 803607, 12 pages
Research Article

Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models

Department of Electrical Engineering, University of North Dakota, 243 Centennial Drive, Uspon Hall II, Room 160, Grand Forks, ND 58202-7165, USA

Received 15 September 2011; Revised 4 January 2012; Accepted 19 January 2012

Academic Editor: Lihong Connie Li

Copyright © 2012 Camerin Hahn and Sima Noghanian. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


As new algorithms for microwave imaging emerge, it is important to have standard accurate benchmarking tests. Currently, most researchers use homogeneous phantoms for testing new algorithms. These simple structures lack the heterogeneity of the dielectric properties of human tissue and are inadequate for testing these algorithms for medical imaging. To adequately test breast microwave imaging algorithms, the phantom has to resemble different breast tissues physically and in terms of dielectric properties. We propose a systematic approach in designing phantoms that not only have dielectric properties close to breast tissues but also can be easily shaped to realistic physical models. The approach is based on regression model to match phantom's dielectric properties with the breast tissue dielectric properties found in Lazebnik et al. (2007). However, the methodology proposed here can be used to create phantoms for any tissue type as long as ex vivo, in vitro, or in vivo tissue dielectric properties are measured and available. Therefore, using this method, accurate benchmarking phantoms for testing emerging microwave imaging algorithms can be developed.