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Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.
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Transcript of Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.
![Page 1: Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022070401/56649f175503460f94c2d8b4/html5/thumbnails/1.jpg)
Parallel CGLS technique for solving
large scale EIT inverse problem
Presenter: Chuan Li YangDept of Electronic and Electrical
Engineering
![Page 2: Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022070401/56649f175503460f94c2d8b4/html5/thumbnails/2.jpg)
Introduction
Hardware Mathematical model
Method for solving large scale EIT
Conclusion and Future improvement
Contents
![Page 3: Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022070401/56649f175503460f94c2d8b4/html5/thumbnails/3.jpg)
What is EIT (electrical impedance tomography )?
An imaging technique in which an image of the conductivity or permittivity of part of the body is inferred from surface electrical measurements.
Introduction
![Page 4: Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022070401/56649f175503460f94c2d8b4/html5/thumbnails/4.jpg)
Includes: Control computer, DAQ unit, multiplexers and phantom.
How does it work?
Control
Computer
National
Instrument
Data
Acquisition
Card
Multiplexer switching pattern
Multiplexer
1
Multiplexer
2
EIT
Phantom
Excitation
Sink
Measurement 2
Measurement 1
EIT hardware ( sensors)
![Page 5: Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022070401/56649f175503460f94c2d8b4/html5/thumbnails/5.jpg)
Phantom design
2D 32 electrodes phantom
3D 4x4 plane array sensor
3D 32 electrodes phantom (2x 16) 32 channel square fabric sensor
![Page 6: Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022070401/56649f175503460f94c2d8b4/html5/thumbnails/6.jpg)
How does it work?
Measurement Patterns
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Mathematical modelForward problem
Inverse problem
One of the most typical regularization schemes is Tikhonov regularization.
![Page 8: Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022070401/56649f175503460f94c2d8b4/html5/thumbnails/8.jpg)
What is large scale mean?
More than 128 electrodes.
Require large space to store the Jacobian matrix.
When EIT problem becomes large scale
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Sparse matrix with parallel CGLS reconstruction
Sparse Jacobian thresholding ( Memory and time save)
Block-wise parallel CGLS (Multiple CPUs)( Further time save)
Method introduced
![Page 10: Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022070401/56649f175503460f94c2d8b4/html5/thumbnails/10.jpg)
The matrix J can be divided in to blocks
Block-wise matrix
• can be expressed as the sum of all blocks,
1
1
lT T
k kk
J r J r
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Results on speed
![Page 12: Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022070401/56649f175503460f94c2d8b4/html5/thumbnails/12.jpg)
128 electrodes 3D EIT system FEM mesh
True image (A sphere with radius of 2.5 cm)
Original reconstruction(400 iterations) LOS=100% Time=1527.90 s
Threshold= 0.001* max(100)J LOS= 45.87% Time= 1307.22s
Threshold= 0.002* max(100)J LOS= 36.36% Time= 1224.12s
Simulation for 128 electrodes
![Page 13: Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022070401/56649f175503460f94c2d8b4/html5/thumbnails/13.jpg)
Phantom pictures Original reconstruction(300 iterations) LOS=100% Time=42.18 s
Threshold= 0.001* max(100)J LOS= 88.40% Time= 42.03s
Threshold= 0.002* max(100)J
LOS= 79.81% Time= 41.76s
Threshold= 0.004* max(100)J
LOS=72.47%
Time= 40.41s
Threshold= 0.006* max(100)J
LOS= 63.22% Time= 31.10s
Experimental images(32 electrodes)
![Page 14: Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022070401/56649f175503460f94c2d8b4/html5/thumbnails/14.jpg)
We have introduced the basics of electrical impedance tomography.
A PC is now efficient enough to produce satisfying results for large scale EIT system while using the developed software.
This program will be utilized by HPC in the future.
Conclusion and future improvement
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Thanks to my supervisor Dr. M Soleimani for his guidance and consistently support of my project.
Acknowledgement
![Page 16: Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022070401/56649f175503460f94c2d8b4/html5/thumbnails/16.jpg)
Thank you!
Questions?