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