Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - FPGA-based architecture for real-time data reduction of ultrasound signals
AU - Soto-Cajiga, J. A.
AU - Pedraza-Ortega, J. C.
AU - Rubio-Gonzalez, C.
AU - Bandala-Sanchez, M.
AU - Romero-Troncoso, R. De J.
PY - 2012/2
Y1 - 2012/2
N2 - This paper describes a novel method for on-line real-time data reduction of radiofrequency (RF) ultrasound signals. The approach is based on a field programmable gate array (FPGA) system intended mainly for steel thickness measurements. Ultrasound data reduction is desirable when: (1) direct measurements performed by an operator are not accessible; (2) it is required to store a considerable amount of data; (3) the application requires measuring at very high speeds; and (4) the physical space for the embedded hardware is limited. All the aforementioned scenarios can be present in applications such as pipeline inspection where data reduction is traditionally performed on-line using pipeline inspection gauges (PIG). The method proposed in this work consists of identifying and storing in real-time only the time of occurrence (TOO) and the maximum amplitude of each echo present in a given RF ultrasound signal. The method is tested with a dedicated immersion system where a significant data reduction with an average of 96.5% is achieved. Crown
AB - This paper describes a novel method for on-line real-time data reduction of radiofrequency (RF) ultrasound signals. The approach is based on a field programmable gate array (FPGA) system intended mainly for steel thickness measurements. Ultrasound data reduction is desirable when: (1) direct measurements performed by an operator are not accessible; (2) it is required to store a considerable amount of data; (3) the application requires measuring at very high speeds; and (4) the physical space for the embedded hardware is limited. All the aforementioned scenarios can be present in applications such as pipeline inspection where data reduction is traditionally performed on-line using pipeline inspection gauges (PIG). The method proposed in this work consists of identifying and storing in real-time only the time of occurrence (TOO) and the maximum amplitude of each echo present in a given RF ultrasound signal. The method is tested with a dedicated immersion system where a significant data reduction with an average of 96.5% is achieved. Crown
KW - FPGA processing
KW - Hardware-based reduction
KW - Maxima detection
KW - Real-time data reduction
KW - Ultrasound data reduction
U2 - 10.1016/j.ultras.2011.08.007
DO - 10.1016/j.ultras.2011.08.007
M3 - Journal article
C2 - 21917282
AN - SCOPUS:81855212742
VL - 52
SP - 230
EP - 237
JO - Ultrasonics
JF - Ultrasonics
SN - 0041-624X
IS - 2
ER -