Optimized 2D array design for Ultrasound imaging

Bakary Diarra, Hervé Liebgott, Marc Robini, Piero Tortoli, Christian Cachard

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)

    Abstract

    Ultrasound imaging is one of the least expensive and safest diagnostic modalities routinely used. An attractive recent development in this field is three-dimensional (3D) imaging with two-dimensional (2D) matrix probes. The difficulty in implementing these probes comes from their large number of elements; for instance, the probe considered in this paper is composed of 1024 elements, whereas the number of channels of most current beamformers ranges from 64 to 256. To reduce the number of active elements, we propose a new sparse array design technique based on simulated annealing. Our method is capable of significantly reducing the number of probe elements as well as the side lobe level in a reasonable amount of computing time. Experiments in the context of hepatic biopsy show that good imaging performance can be obtained with only 177 active elements out of the total of 1024.

    Original languageEnglish
    Title of host publicationProceedings of the 20th European Signal Processing Conference, EUSIPCO 2012
    Pages2718-2722
    Number of pages5
    Publication statusPublished - 2012
    Event20th European Signal Processing Conference, EUSIPCO 2012 - Bucharest
    Duration: Aug 27 2012Aug 31 2012

    Other

    Other20th European Signal Processing Conference, EUSIPCO 2012
    CityBucharest
    Period8/27/128/31/12

    Fingerprint

    Ultrasonics
    Imaging techniques
    Biopsy
    Simulated annealing
    Experiments

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Electrical and Electronic Engineering

    Cite this

    Diarra, B., Liebgott, H., Robini, M., Tortoli, P., & Cachard, C. (2012). Optimized 2D array design for Ultrasound imaging. In Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012 (pp. 2718-2722). [6333799]
    Diarra, Bakary ; Liebgott, Hervé ; Robini, Marc ; Tortoli, Piero ; Cachard, Christian. / Optimized 2D array design for Ultrasound imaging. Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012. 2012. pp. 2718-2722
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    abstract = "Ultrasound imaging is one of the least expensive and safest diagnostic modalities routinely used. An attractive recent development in this field is three-dimensional (3D) imaging with two-dimensional (2D) matrix probes. The difficulty in implementing these probes comes from their large number of elements; for instance, the probe considered in this paper is composed of 1024 elements, whereas the number of channels of most current beamformers ranges from 64 to 256. To reduce the number of active elements, we propose a new sparse array design technique based on simulated annealing. Our method is capable of significantly reducing the number of probe elements as well as the side lobe level in a reasonable amount of computing time. Experiments in the context of hepatic biopsy show that good imaging performance can be obtained with only 177 active elements out of the total of 1024.",
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    Diarra, B, Liebgott, H, Robini, M, Tortoli, P & Cachard, C 2012, Optimized 2D array design for Ultrasound imaging. in Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012., 6333799, pp. 2718-2722, 20th European Signal Processing Conference, EUSIPCO 2012, Bucharest, 8/27/12.

    Optimized 2D array design for Ultrasound imaging. / Diarra, Bakary; Liebgott, Hervé; Robini, Marc; Tortoli, Piero; Cachard, Christian.

    Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012. 2012. p. 2718-2722 6333799.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Diarra B, Liebgott H, Robini M, Tortoli P, Cachard C. Optimized 2D array design for Ultrasound imaging. In Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012. 2012. p. 2718-2722. 6333799