Using a priori Data to Improve the Reconstruction of Small Objects in Microwave Tomography

A study is presented where the use of dielectric a priori data in the reconstruction algorithm for microwave tomography is investigated. A new algorithm has been developed that includes the a priori dielectric data in the reconstruction process. This development is made as an extension to a conventi...

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Bibliographic Details
Published in:IEEE transactions on microwave theory and techniques 2007-11, Vol.55 (11), p.2454-2462
Main Authors: Fhager, A., Persson, M.
Format: Article
Language:English
Subjects:
a priori data
Accuracy
Algorithms
Applied sciences
Biomedical imaging
dielectric object detection
Dielectrics
Exact sciences and technology
Finite difference methods
finite-difference time-domain (FDTD) method
Frequency
gradient method
Image processing
Image reconstruction
Imaging
Information, signal and communications theory
inverse problem
Iterative algorithms
Microwave imaging
microwave tomography
Microwaves
Reconstruction
Reconstruction algorithms
Signal processing
Telecommunications and information theory
Time domain analysis
Tomography
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Summary:A study is presented where the use of dielectric a priori data in the reconstruction algorithm for microwave tomography is investigated. A new algorithm has been developed that includes the a priori dielectric data in the reconstruction process. This development is made as an extension to a conventional conjugate-gradient reconstruction algorithm. This paper further contains a numerical study of the new algorithm where the results indicate that by taking the a priori data into account, the accuracy and ability to resolve small objects can significantly be improved. This study was motivated by the development of an application for biomedical microwave imaging where it is investigated how knowledge of the tissue properties being imaged potentially can be used to improve the accuracy in the reconstruction.
ISSN:0018-9480
1557-9670
DOI:10.1109/TMTT.2007.908670