Ultrasonic testing systems have been extensively used in medical imaging and non-destructive testing applications. Generally, these systems aim at a particular application or target material. To make these systems portable and more adaptable to the test environments, this study presents a reconfigurable ultrasonic testing system (RUTS), which possesses dynamic reconfiguration capabilities. RUTS consists a fully programmable Analog Front-End (AFE), which facilitates beamforming and signal conditioning for variety of applications. RUTS AFE supports up to 8 transducers for phased-array implementation. Xilinx Zynq System-on-Chip (SoC) based Zedboard provides the back-end processing of RUTS. The powerful ARM embedded processor available within Zynq SoC manages the ultrasonic data acquisition/processing and overall system control, which makes RUTS a unique platform for the ultrasonic researchers to experiment and evaluate a wide range of real-time ultrasonic signal processing applications. This Linux-based system is utilized for ultra-sonic data compression implementation providing a versatile environment for further development of ultrasonic imaging and testing system. Furthermore, this study demonstrates the capabilities of RUTS by performing ultrasonic data acquisition and data compression in real-time. Thus, this reconfigurable system enables ultrasonic designers and researchers to efficiently prototype different experiments and to incorporate and analyze high performance ultrasonic signal and image processing algorithms.
References
[1]
Vasudevan, V., Govindan, P. and Saniie, J. (2014) Programmable Analog Front-End System for Ultrasonic SoC Hardware. IEEE International Conference on Electro/Information Technology (EIT), Milwaukee, 5-7 June 2014, 356-361.
http://dx.doi.org/10.1109/EIT.2014.6871790
[2]
Brunner, E. (2002) Ultrasound System Considerations and their Impact on Front-End Components.
http://www.analog.com/library/analogdialogue/archives/36-03/ultrasound/ultrasoundfrontend.pdf
Xilinx (2015) Zynq-7000 All Programmable SoC Overview. DS190 (v1.3).
http://www.xilinx.com/support/documentation/data_sheets/ds190-Zynq-7000-Overview.pdf
[9]
Govindan, P. and Saniie, J. (2014) Hardware-Software Co-Design of 3D Data Compression for Real-Time Ultrasonic Imaging Applications. IEEE International Ultrasonics Symposium (IUS), Chicago, 3-6 September 2014, 564-567.
http://dx.doi.org/10.1109/ultsym.2014.0139
[10]
Saniie, J., Oruklu, E. and Yoon, S. (2012) System-on-Chip Design for Ultrasonic Target Detection Using Split-Spectrum Processing and Neural Networks. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 59, 1354-1368. http://dx.doi.org/10.1109/TUFFC.2012.2336
[11]
Vipin, K. and Fahmy, S.A. (2014) ZyCAP: Efficient Partial Reconfiguration Management on the Xilinx Zynq. IEEE Embedded Systems Letters, 6, 41-44. http://dx.doi.org/10.1109/LES.2014.2314390
[12]
Gilliland, S., Boulet, C., Gonnot, T. and Saniie, J. (2014) Multidimensional Representation of Ultrasonic Data Processed by Reconfigurable Ultrasonic System-on-Chip Using OpenCL High-Level Synthesis. IEEE International Ultrasonics Symposium (IUS), Chicago, 3-6 September 2014, 1936-1939. http://dx.doi.org/10.1109/ultsym.2014.0481
[13]
Oruklu, E. and Saniie, J. (2009) Dynamically Reconfigurable Architecture Design for Ultrasonic Imaging. IEEE Transactions on Instrumentation and Measurement, 58, 2856-2866. http://dx.doi.org/10.1109/TIM.2009.2016370
[14]
Govindan, P., Gilliland, S., Gonnot, T. and Saniie, J. (2012) Reconfigurable Ultrasonic System-on-Chip Hardware (RUSH) Platform for Real-Time Ultrasonic Imaging Applications. IEEE International Ultrasonics Symposium (IUS), Dresden, 7-10 October 2012, 463-466. http://dx.doi.org/10.1109/ultsym.2012.0115
[15]
Weber, J., Oruklu, E. and Saniie, J. (2011) FPGA-Based Configurable Frequency-Diverse Ultrasonic Target-Detection System. IEEE Transactions on Industrial Electronics, 58, 871-879. http://dx.doi.org/10.1109/TIE.2009.2030214
[16]
Govindan, P. and Saniie, J. (2015) Processing Algorithms for Three-Dimensional Data Compression of Ultrasonic Radio Frequency Signals. IET Signal Processing, 9, 267-276. http://dx.doi.org/10.1049/iet-spr.2014.0186