Concurrent EEG And NIRS Tomographic Imaging Based on Wearable Electro-Optodes

2014 ◽  
Author(s):  
Jeng-Ren Duann ◽  
Tzyy-Ping Jung ◽  
Jin-Chern Chiou
Keyword(s):  
Tomographic Imaging

2.5D Algorithm for Tomographic Imaging of the Deep Electromagnetic Geophysical Measurement

PIERS Online ◽  
2006 ◽  
Vol 2 (2) ◽  
pp. 214-218
Author(s):  
Aria Abubakar ◽  
Tarek M Habashy ◽  
V. Druskin ◽  
D. Alumbaugh ◽  
P. Zhang ◽  
...  
Keyword(s):  
Tomographic Imaging ◽  
Geophysical Measurement

Tomographic imaging of ionisation in gases

1996 ◽  
Vol 32 (12) ◽  
pp. 1085 ◽  
Author(s):  
C.J. Kotre
Keyword(s):  
Tomographic Imaging

scholarly journals Millimeter-Wave Radar Sensor for Automated Tomographic Imaging of Composite Materials in a Manufacturing Environment

2021 ◽  
Vol 5 (3) ◽  
pp. 1-4
Author(s):  
Dominik Meier ◽  
Christian Zech ◽  
Benjamin Baumann ◽  
Bersant Gashi ◽  
Matthias Malzacher ◽  
...  
Keyword(s):  
Composite Materials ◽  
Millimeter Wave ◽  
Tomographic Imaging ◽  
Radar Sensor ◽  
Manufacturing Environment ◽  
Millimeter Wave Radar ◽  
Wave Radar

scholarly journals An overview of 38 least squares–based frameworks for structural damage tomography

2019 ◽  
Vol 19 (1) ◽  
pp. 215-239 ◽  
Author(s):  
Danny Smyl ◽  
Sven Bossuyt ◽  
Waqas Ahmad ◽  
Anton Vavilov ◽  
Dong Liu
Keyword(s):  
Structural Health Monitoring ◽  
Least Squares ◽  
Health Monitoring ◽  
Structural Damage ◽  
Tomographic Imaging ◽  
Inverse Methods ◽  
One Dimension ◽  
Distributed Data ◽  
Structural Health ◽  
Static Elasticity

The ability to reliably detect damage and intercept deleterious processes, such as cracking, corrosion, and plasticity are central themes in structural health monitoring. The importance of detecting such processes early on lies in the realization that delays may decrease safety, increase long-term repair/retrofit costs, and degrade the overall user experience of civil infrastructure. Since real structures exist in more than one dimension, the detection of distributed damage processes also generally requires input data from more than one dimension. Often, however, interpretation of distributed data—alone—offers insufficient information. For this reason, engineers and researchers have become interested in stationary inverse methods, for example, utilizing distributed data from stationary or quasi-stationary measurements for tomographic imaging structures. Presently, however, there are barriers in implementing stationary inverse methods at the scale of built civil structures. Of these barriers, a lack of available straightforward inverse algorithms is at the forefront. To address this, we provide 38 least-squares frameworks encompassing single-state, two-state, and joint tomographic imaging of structural damage. These regimes are then applied to two emerging structural health monitoring imaging modalities: Electrical Resistance Tomography and Quasi-Static Elasticity Imaging. The feasibility of the regimes are then demonstrated using simulated and experimental data.

THE VETMOUSETRAP™: A DEVICE FOR COMPUTED TOMOGRAPHIC IMAGING OF THE THORAX OF AWAKE CATS

2010 ◽  
pp. no-no ◽  
Author(s):  
CINTIA R. OLIVEIRA ◽  
FRANK N. RANALLO ◽  
GERALD J. PIJANOWSKI ◽  
MARK A. MITCHELL ◽  
MAURIA A. O'BRIEN ◽  
...  
Keyword(s):  
Tomographic Imaging ◽  
Computed Tomographic ◽  
Awake Cats ◽  
Computed Tomographic Imaging

4D synchrotron tomographic imaging of network and fibre level micromechanics in softwood paper

Materialia ◽  
2020 ◽  
Vol 11 ◽  
pp. 100680
Author(s):  
F. Golkhosh ◽  
Y. Sharma ◽  
D.M. Martinez ◽  
P.D. Lee ◽  
W. Tsai ◽  
...  
Keyword(s):  
Tomographic Imaging
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