FPGA-based architecture for real-time data reduction of ultrasound signals

被引:9
|
作者
Soto-Cajiga, J. A. [1 ]
Pedraza-Ortega, J. C. [2 ]
Rubio-Gonzalez, C. [1 ]
Bandala-Sanchez, M. [1 ]
Romero-Troncoso, R. de J. [3 ]
机构
[1] Ctr Ingn & Desarrollo Ind, Queretaro 76130, Qro, Mexico
[2] Univ Autonoma Queretaro, CIDIT Fac Informat, Queretaro 76230, Qro, Mexico
[3] Univ Guanajuato, DICIS, HSPdigital CA Telemat, Salamanca 36885, Gto, Spain
关键词
Ultrasound data reduction; Maxima detection; Real-time data reduction; Hardware-based reduction; FPGA processing; COMPRESSION; INSPECTION;
D O I
10.1016/j.ultras.2011.08.007
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
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. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:230 / 237
页数:8
相关论文
共 50 条
  • [31] Reconfigurable architecture for computing histograms in real-time tailored to FPGA-based Smart Camera
    Maggiani, Luca
    Salvadori, Claudio
    Petracca, Matteo
    Pagano, Paolo
    Saletti, Roberto
    2014 IEEE 23RD INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2014, : 1042 - 1046
  • [32] Real Time FPGA-Based CNN Training and Recognition of Signals
    Groom, Tyler
    George, Kiran
    2022 IEEE WORLD AI IOT CONGRESS (AIIOT), 2022, : 22 - 26
  • [33] A FPGA-Based Architecture for Real-Time Cluster Finding in the LHCb Silicon Pixel Detector
    Bassi, G.
    Giambastiani, L.
    Hennessy, K.
    Lazzari, F.
    Morello, M. J.
    Pajero, T.
    Prieto, A. Fernandez
    Punzi, G.
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2023, 70 (06) : 1189 - 1201
  • [34] FPGA-based Real-time Object Tracking using a Particle Filter with Stream Architecture
    Tahara, Akane
    Hayashida, Yoshiki
    Thu, Theint Theint
    Shibata, Yuichiro
    Oguri, Kiyoshi
    2016 FOURTH INTERNATIONAL SYMPOSIUM ON COMPUTING AND NETWORKING (CANDAR), 2016, : 422 - 428
  • [35] A New FPGA-based Architecture of Task Scheduler with Support of Periodic Real-Time Tasks
    Kohutka, Lukas
    2022 29TH INTERNATIONAL CONFERENCE ON MIXED DESIGN OF INTEGRATED CIRCUITS AND SYSTEM (MIXDES 2022), 2022, : 77 - 82
  • [36] A Multi-Resolution FPGA-Based Architecture for Real-Time Edge and Corner Detection
    Possa, Paulo Ricardo
    Mahmoudi, Sidi Ahmed
    Harb, Naim
    Valderrama, Carlos
    Manneback, Pierre
    IEEE TRANSACTIONS ON COMPUTERS, 2014, 63 (10) : 2376 - 2388
  • [37] An FPGA-based real-time image processing system
    ZONG Dexiang
    HE Yonghui
    Baosteel Technical Research, 2013, 7 (04) : 8 - 10
  • [38] Real-time FPGA-based image rectification system
    Vancea, Cristian
    Nedevschi, Sergiu
    Negru, Mihai
    Mathe, Stefan
    VISAPP 2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 1, 2006, : 93 - +
  • [39] FPGA-Based Multi-Channel Real-Time Data Acquisition System
    Choi, Soyeon
    Yang, Heehun
    Noh, Yunjin
    Kim, Giyoung
    Kwon, Eunsang
    Yoo, Hoyoung
    ELECTRONICS, 2024, 13 (15)
  • [40] FPGA-based real-time image segmentation for medical systems and data processing
    Dillinger, P.
    Vogelbruch, J. F.
    Leinen, J.
    Suslov, S.
    Patzak, R.
    Winkler, H.
    Schwan, K.
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2006, 53 (04) : 2097 - 2101