Modeling Realistic Contrast Maps from MRI [EM Programmer´s Notebook] Images for Microwave Breast Cancer Detection

Author

Angiulli, G. ; Isernia, Tommaso ; Tringali, S.

Author_Institution

Fac. of Eng., Univ. Mediterranea, Reggio Calabria, Italy

Volume

53

Issue

1

fYear

2011

Firstpage

113

Lastpage

122

Abstract

We describe the implementation of a *MATLAB experimental framework for the data conversion of magnetic-resonance (MRI) images to contrast maps. This is done for use in microwave breast cancer detection via the contrast source (CS) model (although the underlying logic can be adapted quite easily to different contexts and applications). The framework is conceived to relieve interested developers from most of the programming burden, and to provide final users with a friendly, consistent approach to the numerical simulations.

Keywords

biomedical MRI; cancer; mathematics computing; medical image processing; numerical analysis; MATLAB experimental framework; MRI images; contrast source model; magnetic-resonance images; microwave breast cancer detection; numerical simulations; realistic contrast maps; Breast cancer; Cancer; Data conversion; Image resolution; MATLAB; Magnetic resonance imaging; Microwave imaging; Biomedical computing; biomedical image processing; biomedical magnetic resonance imaging; cancer; microwave imaging; tumors;

fLanguage

English

Journal_Title

Antennas and Propagation Magazine, IEEE

Publisher

ieee

ISSN

1045-9243

Type

jour

DOI

10.1109/MAP.2011.5773583

Filename

5773583