Signal processing to improve speed and accuracy of electrical impedance tomography imaging

Hoang Tran; Vu Pham; Thong Le; Hargsoon Yoon

doi:10.1117/12.2585224

22 March 2021 Signal processing to improve speed and accuracy of electrical impedance tomography imaging

Hoang Tran, Vu Pham, Thong Le, Hargsoon Yoon

Proceedings Volume 11590, Nano-, Bio-, Info-Tech Sensors and Wearable Systems; 1159012 (2021) https://doi.org/10.1117/12.2585224
Event: SPIE Smart Structures + Nondestructive Evaluation, 2021, Online Only

Conference Poster

Abstract

Electrical impedance tomography (EIT) is a rising and emerging imaging technique with great potential in many areas, especially in functional brain imaging applications. An EIT system with high speed and accuracy can have many applications to medical devices supporting in diagnosis and treatment of neurological disorders and diseases. In this research, EIT algorithms and hardware are developed and improved to increase reconstructed images' accuracy and decrease the reconstruction time. Due to multiplexer design limitations, EIT measurements are subject to strong capacitive effects from charging and discharging in switching cycles around 300 to 400 samples per 1280 samples (in 10 milliseconds sampling). We developed an algorithm to choose data in steady-state condition only selectively. This method improves the signal-to-noise ratio and results in better reconstruction images. An algorithm to effectively synchronize the beginning points of data was developed to increase the system's speed. This presentation also presents the EIT system's hardware architecture based on Texas Instruments Fixed-Point Digital Signal Processor - TMS320VC5509A, which is low-cost, high potential in popularity the community in the future. For high operation speed, we propose the EIT system used Sitara™ AM57x processors of Texas Instruments.

Conference Presentation

Citation Download Citation

Hoang Tran, Vu Pham, Thong Le, and Hargsoon Yoon "Signal processing to improve speed and accuracy of electrical impedance tomography imaging", Proc. SPIE 11590, Nano-, Bio-, Info-Tech Sensors and Wearable Systems, 1159012 (22 March 2021); https://doi.org/10.1117/12.2585224

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