Investigation of discrete imaging models and iterative image reconstruction in differential X-ray phase-contrast tomography.

Détails

Ressource 1Télécharger: BIB_FC2A5EEF33B6.P001.pdf (2572.24 [Ko])
Etat: Public
Version: de l'auteur⸱e
ID Serval
serval:BIB_FC2A5EEF33B6
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Investigation of discrete imaging models and iterative image reconstruction in differential X-ray phase-contrast tomography.
Périodique
Optics Express
Auteur⸱e⸱s
Xu Q., Sidky E.Y., Pan X., Stampanoni M., Modregger P., Anastasio M.A.
ISSN
1094-4087 (Electronic)
ISSN-L
1094-4087
Statut éditorial
Publié
Date de publication
2012
Volume
20
Numéro
10
Pages
10724-10749
Langue
anglais
Notes
Publication types: Journal ArticlePublication Status: ppublish
Résumé
Differential X-ray phase-contrast tomography (DPCT) refers to a class of promising methods for reconstructing the X-ray refractive index distribution of materials that present weak X-ray absorption contrast. The tomographic projection data in DPCT, from which an estimate of the refractive index distribution is reconstructed, correspond to one-dimensional (1D) derivatives of the two-dimensional (2D) Radon transform of the refractive index distribution. There is an important need for the development of iterative image reconstruction methods for DPCT that can yield useful images from few-view projection data, thereby mitigating the long data-acquisition times and large radiation doses associated with use of analytic reconstruction methods. In this work, we analyze the numerical and statistical properties of two classes of discrete imaging models that form the basis for iterative image reconstruction in DPCT. We also investigate the use of one of the models with a modern image reconstruction algorithm for performing few-view image reconstruction of a tissue specimen.
Pubmed
Web of science
Création de la notice
09/06/2012 19:06
Dernière modification de la notice
20/08/2019 17:27
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