DocumentCode :
1036787
Title :
Reconstruction Quality and Spectral Content of an Electromagnetic Time-Domain Inversion Algorithm
Author :
Fhager, A. ; Hashemzadeh, P. ; Persson, M.
Author_Institution :
Dept. of Signal & Syst., Chalmers Univ. of Technol., Goteborg
Volume :
53
Issue :
8
fYear :
2006
Firstpage :
1594
Lastpage :
1604
Abstract :
A tomographic time-domain reconstruction algorithm for solving the inverse electromagnetic problem is described. The application we have in mind is dielectric breast cancer detection but the results are of general interest to the field of microwave tomography. Reconstructions have been made from experimental and numerically simulated data for objects of different sizes in order to investigate the relation between the spectral content of the illuminating pulse and the quality of the reconstructed image. We have found that the spectral content is crucial for a successful reconstruction. The work has further shown that when imaging objects with different scale lengths it is an advantage to use a multiple step procedure. Low frequency content in the pulse is used to image the large structures and the reconstruction process then proceed by using higher frequency data to resolve small scale lengths. Good agreement between the results obtained from experimental data and simulated data has been achieved
Keywords :
biological organs; image reconstruction; mammography; medical image processing; microwave imaging; time-domain analysis; tomography; dielectric breast cancer detection; electromagnetic time-domain inversion algorithm; inverse electromagnetic problem; microwave tomography; reconstruction quality; spectral content; tomographic time-domain reconstruction algorithm; Breast cancer; Cancer detection; Dielectrics; Frequency; Image reconstruction; Image resolution; Numerical simulation; Reconstruction algorithms; Time domain analysis; Tomography; FDTD methods; microwave imaging; microwave measurements; transient analysis; Algorithms; Breast Neoplasms; Computer Simulation; Finite Element Analysis; Humans; Image Interpretation, Computer-Assisted; Microwaves; Models, Biological; Phantoms, Imaging; Reproducibility of Results; Sensitivity and Specificity; Tomography;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2006.878079
Filename :
1658154
Link To Document :
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