scholarly journals Microscopic characteristics and tomography scheme of the local Chern marker

2019 ◽  
Vol 100 (2) ◽  
Author(s):  
Bernhard Irsigler ◽  
Jun-Hui Zheng ◽  
Walter Hofstetter
Keyword(s):  
Tomography Scheme

An acoustic tomography scheme with a bottom mounted horizontal line array.

2011 ◽  
Vol 129 (4) ◽  
pp. 2509-2509
Author(s):  
Zhenglin Li ◽  
Li He ◽  
Fenghua Li ◽  
Renhe Zhang ◽  
Mobson Badiey
Keyword(s):  
Acoustic Tomography ◽  
Horizontal Line ◽  
Line Array ◽  
Tomography Scheme

Interferometric system based on swept source-optical coherence tomography scheme applied to the measurement of distances of industrial interest

2016 ◽  
Vol 55 (1) ◽  
pp. 014105 ◽  
Author(s):  
Eneas N. Morel ◽  
Nélida A. Russo ◽  
Jorge R. Torga ◽  
Ricardo Duchowicz
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Swept Source ◽  
Tomography Scheme

scholarly journals Two-Level Optical Coherence Tomography Scheme for Suppressing Spectral Saturation Artifacts

Sensors ◽  
2014 ◽  
Vol 14 (8) ◽  
pp. 13548-13555 ◽  
Author(s):  
Chiung-Ting Wu ◽  
Meng-Tsan Tsai ◽  
Cheng-Kuang Lee
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Tomography Scheme

New Electric Tomography Scheme and Algorithms for Fast Recognition of Compound Structures

2012 ◽  
Vol 1372 ◽  
Author(s):  
Alexandre Grebennikov
Keyword(s):  
Computer Simulation ◽  
Numerical Experiments ◽  
Electrical Tomography ◽  
Matlab Software ◽  
Measurement Scheme ◽  
Fast Recognition ◽  
Special Measurement ◽  
Computer Recognition ◽  
Tomography Scheme

ABSTRACTNecessity of recognition of compound structures appears in different applications. Electrical tomography is one of perspective approach for investigation of material structures. A new special measurement scheme in electric tomography is proposed for the domain as a circle. This scheme opens possibility to construct electric tomography apparatus with faster computer recognition of structure of compounds materials, using General Ray algorithms. Computer simulation of this scheme is realised with MATLAB software and justified by numerical experiments on examples, related with electrical tomography.

Sinogram Restoration for Sparse Projections Applied to Noisy Data in Ultrasound Tomography

2016 ◽  
Vol 1 ◽  
Author(s):  
Catur Edi Widodo
Keyword(s):  
Noisy Data ◽  
Reconstructed Image ◽  
Ultrasound Tomography ◽  
Concrete Cylinder ◽  
Noise Ratio ◽  
Sinogram Restoration ◽  
Tomography Scheme ◽  
Tomography Data ◽  
Better Than

In some cases the number of projections in a set of tomography data is limited. This can be seen from their sinogram. If this kind of data is reconstructed, the image produced will be deteroited. In order to overcome this problem an algorithm for restoring the incomplete sinogram  has been developed in previous work. In that work the developed algorithm was tested using ideal data from Shepp-Logan panthom. In this paper the same algorithm is applied to restore incomplete and  noisy data in ultrasound  tomography. The phantom used in this study is a concrete cylinder with a diameter of 10.62 cm. Inside  cylinder there are 6 holes with a diameter of 2 cm each. These holes were filled with various materials. The phantom were scanned in ultrasound tomography scheme and the resulted sinogram then reconstructed with and without sinogram restoration. Using contrast to noise ratio (<em>CNR</em>) indicator the reconstructed image with sinogram restoration is better than that without sinogram restoration.

On Acoustic Tomography Scheme for Reconstruction of Hydrophysical Parameters for Marine Environment

2002 ◽  
pp. 107-114 ◽  
Author(s):  
V. A. Akulichev ◽  
V. P. Dzyuba ◽  
P. V. Gladkov ◽  
S. I. Kamenev ◽  
Yu. N. Morgunov
Keyword(s):  
Marine Environment ◽  
Acoustic Tomography ◽  
Tomography Scheme

Sinogram Restoration for Sparse Projections Applied to Noisy Data in Ultrasound Tomography

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Catur Edi Widodo
Keyword(s):  
Noisy Data ◽  
Reconstructed Image ◽  
Ultrasound Tomography ◽  
Concrete Cylinder ◽  
Noise Ratio ◽  
Sinogram Restoration ◽  
Tomography Scheme ◽  
Tomography Data ◽  
Better Than

In some cases the number of projections in a set of tomography data is limited. This can be seen from their sinogram. If this kind of data is reconstructed, the image produced will be deteroited. In order to overcome this problem an algorithm for restoring the incomplete sinogram  has been developed in previous work. In that work the developed algorithm was tested using ideal data from Shepp-Logan panthom. In this paper the same algorithm is applied to restore incomplete and  noisy data in ultrasound  tomography. The phantom used in this study is a concrete cylinder with a diameter of 10.62 cm. Inside  cylinder there are 6 holes with a diameter of 2 cm each. These holes were filled with various materials. The phantom were scanned in ultrasound tomography scheme and the resulted sinogram then reconstructed with and without sinogram restoration. Using contrast to noise ratio (<em>CNR</em>) indicator the reconstructed image with sinogram restoration is better than that without sinogram restoration.

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