Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models
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 inadequat...
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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2012/803607 |
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doaj-519b195562fa44b0b5f182e8eb190d272020-11-24T20:54:30ZengHindawi LimitedInternational Journal of Biomedical Imaging1687-41881687-41962012-01-01201210.1155/2012/803607803607Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression ModelsCamerin Hahn0Sima Noghanian1Department of Electrical Engineering, University of North Dakota, 243 Centennial Drive, Uspon Hall II, Room 160, Grand Forks, ND 58202-7165, USADepartment of Electrical Engineering, University of North Dakota, 243 Centennial Drive, Uspon Hall II, Room 160, Grand Forks, ND 58202-7165, USAAs 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.http://dx.doi.org/10.1155/2012/803607 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Camerin Hahn Sima Noghanian |
spellingShingle |
Camerin Hahn Sima Noghanian Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models International Journal of Biomedical Imaging |
author_facet |
Camerin Hahn Sima Noghanian |
author_sort |
Camerin Hahn |
title |
Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models |
title_short |
Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models |
title_full |
Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models |
title_fullStr |
Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models |
title_full_unstemmed |
Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models |
title_sort |
heterogeneous breast phantom development for microwave imaging using regression models |
publisher |
Hindawi Limited |
series |
International Journal of Biomedical Imaging |
issn |
1687-4188 1687-4196 |
publishDate |
2012-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2012/803607 |
work_keys_str_mv |
AT camerinhahn heterogeneousbreastphantomdevelopmentformicrowaveimagingusingregressionmodels AT simanoghanian heterogeneousbreastphantomdevelopmentformicrowaveimagingusingregressionmodels |
_version_ |
1716794346919952384 |