EDART, a discrete algebraic reconstructing technique for experimental data obtained with high resolution computed tomography.
J Xray Sci Technol
; 22(1): 47-61, 2014.
Article
em En
| MEDLINE
| ID: mdl-24463385
ABSTRACT
A novel reconstruction method is presented to improve the image quality of three dimensional (3D) datasets for samples consisting of only one material and surrounding air, obtained with high resolution X-ray Computed Tomography (µCT). It combines discrete tomography with iterative reconstruction algorithms, it is applicable for routine µCT applications and is referred to as the Experimental Discrete Algebraic Reconstruction Technique (EDART). A fast and intuitive method to estimate the attenuation coefficient and segmentation threshold, in case these are unknown, is included. Experimental results illustrate that EDART allows the improvement of the reconstruction quality as compared to standard iterative reconstruction when few projections are available, without significantly increasing the reconstruction time.
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01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Processamento de Imagem Assistida por Computador
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Tomografia Computadorizada por Raios X
Idioma:
En
Ano de publicação:
2014
Tipo de documento:
Article