Tesi etd-05292011-224421 |
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Tipo di tesi
Tesi di laurea specialistica
Autore
CALTAGIRONE, LAURA
URN
etd-05292011-224421
Titolo
Tecniche Elettrotomografiche per la caratterizzazione dei tessuti biologici
Dipartimento
INGEGNERIA
Corso di studi
INGEGNERIA BIOMEDICA
Relatori
relatore Giardini, Mario Ettore
relatore Prof.ssa Menciassi, Arianna
relatore Prof.ssa Menciassi, Arianna
Parole chiave
- EIT
- EIT-instrumentation
- electrical impedance tomography
- finite element method
- forward problem
- images of contrast
- inverse problem
Data inizio appello
19/07/2011
Consultabilità
Completa
Riassunto
Electrical impedance tomography (EIT) is an imaging modality wherein the spatial map of conductivity and permittivity inside a medium is obtained from a set of surface electrical measurements. Electrodes are brought into contact with the surface of the object being imaged and a set of currents are applied and the corresponding voltages are measured. These voltages and currents are then used to estimate the electrical properties of the object using an image reconstruction algorithm which relies on an accurate model of the electrical interaction. The process of property estimation, called inverse problem, is highly ill-posed and it requires a Regularization method.
The objective of this Thesis was to develop a device for imaging using the EIT technique, which was convenient, noninvasive, easily programmable, portable and relatively cheap in contrast to many other diagnostic tool.
In this direction a simple EIT system and its hardware and software parts are developed.
The data processing was accomplished by utilizing the EIDORS toolkit, which was developed for application to this nonlinear and ill-posed inverse problem.
Experiments have indicated that the EIT system can reconstruct resistive and capacitive images of good contrast despite errors in the measurement are not taken in account.
The objective of this Thesis was to develop a device for imaging using the EIT technique, which was convenient, noninvasive, easily programmable, portable and relatively cheap in contrast to many other diagnostic tool.
In this direction a simple EIT system and its hardware and software parts are developed.
The data processing was accomplished by utilizing the EIDORS toolkit, which was developed for application to this nonlinear and ill-posed inverse problem.
Experiments have indicated that the EIT system can reconstruct resistive and capacitive images of good contrast despite errors in the measurement are not taken in account.
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