1. Presenter: Chuan Li Yang Dept of Electronic and Electrical Engineering

2.  Introduction  Hardware  Mathematical model  Method for solving large scale EIT  Conclusion and Future improvement

3.  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.

4. Includes: Control computer, DAQ unit, multiplexers and phantom. 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)

5. 2D 32 electrodes phantom 3D 4x4 plane array sensor 3D 32 electrodes phantom (2x 16) 32 channel square fabric sensor

6. Measurement Patterns

7. Forward problem

8. What is large scale mean? More than 128 electrodes. Require large space to store the Jacobian matrix.

9. Sparse matrix with parallel CGLS reconstruction  Sparse Jacobian thresholding ( Memory and time save)  Block-wise parallel CGLS (Multiple CPUs) ( Further time save)

14.  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.

15.  Thanks to my supervisor Dr. M Soleimani for his guidance and consistently support of my project.

16. Thank you! Questions?