X-Ray Computed Tomography Applied to Objects of Cultural Heritage: Porting and Testing the Filtered Back-Projection Reconstruction Algorithm on Low Power Systems-on-Chip

2016 ◽  
Author(s):  
Elena Corni ◽  
Lucia Morganti ◽  
Maria Pia Morigi ◽  
Rosa Brancaccio ◽  
Matteo Bettuzzi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Power Systems ◽  
Cultural Heritage ◽  
Low Power ◽  
Reconstruction Algorithm ◽  
Back Projection ◽  
X Ray ◽  
Systems On Chip ◽  
X Ray Computed ◽  
On Chip

X-RAY TOMOGRAPHY STUDIES OF PREHISTORIC CERAMIC ARTIFACTS

2014 ◽  
Vol 27 ◽  
pp. 1460135
Author(s):  
CARMEN PAVEL ◽  
FLORIN CONSTANTIN ◽  
COSMIN IOAN SUCIU ◽  
ROXANA BUGOI
Keyword(s):  
Computed Tomography ◽  
Cultural Heritage ◽  
Nuclear Physics ◽  
Structural Information ◽  
Ct Scans ◽  
Visual Examination ◽  
X Ray ◽  
X Ray Computed ◽  
Internal Configuration ◽  
Non Destructive

X-ray Computed Tomography (CT) is a powerful non-destructive technique that can yield interesting structural information not discernible through visual examination only. This paper presents the results of the CT scans of four objects belonging to the Romanian cultural heritage attributed to the Vinča, Cucuteni and Cruceni-Belegiš cultures. The study was performed with an X-ray tomographic device developed at the Department for Applied Nuclear Physics from Horia Hulubei National Institute for Nuclear Physics and Engineering in Măgurele, Romania. This apparatus was specially designed for archaeometric studies of low-Z artifacts: ceramic, wood, bone. The tomographic investigations revealed the internal configuration of the objects and provided information about the degree to which the previous manipulations affected the archaeological items. Based on the X-ray images resulting from the CT scans, hints about the techniques used in the manufacturing of the artifacts were obtained, as well as some indications useful for conservation/restoration purposes.

Application of X-ray Computed Tomography to Cultural Heritage diagnostics

2010 ◽  
Vol 100 (3) ◽  
pp. 653-661 ◽  
Author(s):  
M. P. Morigi ◽  
F. Casali ◽  
M. Bettuzzi ◽  
R. Brancaccio ◽  
V. D’Errico
Keyword(s):  
Computed Tomography ◽  
Cultural Heritage ◽  
X Ray ◽  
X Ray Computed ◽  
Cultural Heritage Diagnostics

Hybrid reconstruction algorithm for x-ray computed tomography

1989 ◽  
Vol 16 (2) ◽  
pp. 197-201 ◽  
Author(s):  
R. Waggener ◽  
M. Lee ◽  
D. Mickish ◽  
J. Lange ◽  
J. Feldmeier
Keyword(s):  
Computed Tomography ◽  
Reconstruction Algorithm ◽  
X Ray ◽  
X Ray Computed

scholarly journals Level-set reconstruction algorithm for ultrafast limited-angle X-ray computed tomography of two-phase flows

2015 ◽  
Vol 373 (2043) ◽  
pp. 20140395 ◽  
Author(s):  
M. Bieberle ◽  
U. Hampel
Keyword(s):  
Computed Tomography ◽  
Level Set ◽  
Reconstruction Algorithm ◽  
Projection Data ◽  
Reconstruction Technique ◽  
Two Phase Flows ◽  
Two Phase ◽  
X Ray ◽  
X Ray Computed ◽  
Limited Angle

Tomographic image reconstruction is based on recovering an object distribution from its projections, which have been acquired from all angular views around the object. If the angular range is limited to less than 180° of parallel projections, typical reconstruction artefacts arise when using standard algorithms. To compensate for this, specialized algorithms using a priori information about the object need to be applied. The application behind this work is ultrafast limited-angle X-ray computed tomography of two-phase flows. Here, only a binary distribution of the two phases needs to be reconstructed, which reduces the complexity of the inverse problem. To solve it, a new reconstruction algorithm (LSR) based on the level-set method is proposed. It includes one force function term accounting for matching the projection data and one incorporating a curvature-dependent smoothing of the phase boundary. The algorithm has been validated using simulated as well as measured projections of known structures, and its performance has been compared to the algebraic reconstruction technique and a binary derivative of it. The validation as well as the application of the level-set reconstruction on a dynamic two-phase flow demonstrated its applicability and its advantages over other reconstruction algorithms.

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