A novel approach for EIT regularization via spatial and spectral principal component analysis.
Physiol Meas
; 28(9): 1001-16, 2007 Sep.
Article
en En
| MEDLINE
| ID: mdl-17827649
ABSTRACT
Electrical impedance tomography, EIT, is an imaging modality in which the internal conductivity distribution of an object is reconstructed based on voltage measurements on the boundary. This reconstruction problem is a nonlinear and ill-posed inverse problem, which requires regularization to ensure a stable solution. Most popular regularization approaches enforce smoothness in the inverse solution. In this paper, we propose a novel approach to build a subspace for regularization using a spectral and spatial multi-frequency analysis approach. The approach is based on the construction of a subspace for the expected conductivity distributions using principal component analysis. It is shown via simulations that the reconstructed images obtained with the proposed method are better than with the standard regularization approach. Using this approach, the percentage of misclassified finite elements was reduced up to twelve fold from the initial percentages after five iterations. The advantage of this technique is that prior information is extracted from the characteristic response of an object at different frequencies and spatially across the finite elements.
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Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Pletismografía de Impedancia
/
Algoritmos
/
Interpretación de Imagen Asistida por Computador
/
Tomografía
/
Modelos Biológicos
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Idioma:
En
Revista:
Physiol Meas
Asunto de la revista:
BIOFISICA
/
ENGENHARIA BIOMEDICA
/
FISIOLOGIA
Año:
2007
Tipo del documento:
Article
País de afiliación:
Canadá