Comparison of two image reconstruction algorithms for microwave tomography

Two image reconstruction algorithms for microwave tomography are compared and contrasted. One is a general, gradient‐based minimization algorithm. The other is the chirp pulse microwave computed tomography (CP‐MCT) method, which is a highly computationally efficient reconstruction method but also a...

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Bibliographic Details
Published in:Radio science Vol. 40; no. 3
Main Authors: Fhager, A., Persson, M.
Format: Journal Article
Language:English
Published: Blackwell Publishing Ltd 01.06.2005
Subjects:
dielectric imaging
inverse scattering
time domain
ISSN:0048-6604, 1944-799X
Online Access:Get full text
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Summary:Two image reconstruction algorithms for microwave tomography are compared and contrasted. One is a general, gradient‐based minimization algorithm. The other is the chirp pulse microwave computed tomography (CP‐MCT) method, which is a highly computationally efficient reconstruction method but also a method best suited for low contrasts. The results of the simulations show that when imaging high‐contrast objects, such as a breast cancer tumor, reconstructions made are comparable to results from the minimization algorithm below a contrast of about 10%. The simulations, however, show that the reconstructions made by the CP‐MCT method are very robust to noise. The reconstruction of the conductivity using the minimization algorithm, on the other hand, is very sensitive to the level of noise. In spite of a strong degradation in the conductivity reconstructions, the corresponding permittivity reconstructions do not show the same sensitivity to the noise level.
Bibliography:istex:B7A9A8F54BBE36A32B46975012CD8B5DF9BD1ECA
ArticleID:2004RS003105
ark:/67375/WNG-HK019SBQ-X
ISSN:0048-6604
1944-799X
DOI:10.1029/2004RS003105