NDLI: Fast iterative reconstruction of data in full interior tomography.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Arcadu, F. Marone, F. Stampanoni, M.
Description	Country affiliation: Switzerland Author Affiliation: Arcadu F ( Institute for Biomedical Engineering, ETH Zurich, 8092 Zurich, Switzerland.); Marone F ( Swiss Light Source, Paul Scherrer Institute, 5232 Villigen, Switzerland.); Stampanoni M ( Institute for Biomedical Engineering, ETH Zurich, 8092 Zurich, Switzerland.)
Abstract	This paper introduces two novel strategies for iterative reconstruction of full interior tomography (FINT) data, i.e. when the field of view is entirely inside the object support and knowledge of the object support itself or the attenuation coefficients inside specific regions of interest are not available. The first approach is based on data edge-padding. The second technique creates an intermediate virtual sinogram, which is, then, reconstructed by a standard iterative algorithm. Both strategies are validated in the framework of the alternate direction method of multipliers plug-and-play with gridding projectors that provide a speed-up of three orders of magnitude with respect to standard operators implemented in real space. The proposed methods are benchmarked on synchrotron-based X-ray tomographic microscopy datasets of mouse lung alveoli. Compared with analytical techniques, the proposed methods substantially improve the reconstruction quality for FINT underconstrained datasets, facilitating subsequent post-processing steps.
File Format	HTM / HTML
ISSN	09090495
Issue Number	Pt 1
Journal	Journal of Synchrotron Radiation
Volume Number	24
e-ISSN	16005775
Language	English
Publisher	IUCr
Publisher Date	2017-01-01
Publisher Place	United States
Access Restriction	Subscribed
Subject Keyword	Discipline Radiology
Content Type	Text
Resource Type	Article
Subject	Nuclear and High Energy Physics Instrumentation Radiation

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