Convergence and stability assessment of Newton-Kantorovich reconstrutin algorithms for microwve tomography
Visualitza/Obre
Tipus de documentArticle
Data publicació1998-08-31
EditorIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
For newly developed iterative Newton-Kantorovitch reconstruction techniques, the quality of the final image depends on both experimental and model noise. Experimental noise is inherent to any experimental acquisition scheme, while model noise refers to the accuracy of the numerical model, used in the reconstruction process, to reproduce the experimental setup. This paper provides a systematic assessment of the major sources of experimental and model noise on the quality of the final image. This assessment is conducted from experimental data obtained with a microwave circular scanner operating at 2.33 GHz. Targets to be imaged include realistic biological structures, such as a human forearm, as well as calibrated samples for the sake of accuracy evaluation. The results provide a quantitative estimation of the effect of experimental factors, such as temperature of the immersion medium, frequency, signal-to-noise ratio, and various numerical parameters.
CitacióJoachimowicz, N.; Mallorquí, J.; Bolomey, J. Ch.; Broquetas, A. Convergence and stability assessment of Newton-Kantorovich reconstruction algorithms for microwave tomography. IEEE Transactions on medical imaging, 1998, vol. 17, núm. 4, p. 562-570.
ISSN0278-0062
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
convergence stability assessment00730401.pdf | 814,0Kb | Visualitza/Obre |