• DocumentCode
    1762675
  • Title

    Design of Optimal 2-D Nongrid Sparse Arrays for Medical Ultrasound

  • Author

    Diarra, Bakary ; Robini, Marc ; Tortoli, Piero ; Cachard, Christian ; Liebgott, H.

  • Author_Institution
    Dept. of Electron. & Telecommun., Univ. degli Studi di Firenze, Florence, Italy
  • Volume
    60
  • Issue
    11
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    3093
  • Lastpage
    3102
  • Abstract
    Three-dimensional imaging with 2-D matrix probes is one of the most exciting recent ultrasound innovations. Unfortunately, the number of elements of a 2-D matrix probe is often very high, and reducing this number deteriorates the beam properties. In this paper, we propose a new sparse-array design technique with irregular element positioning, which significantly reduces the number of active elements as well as the grating-lobe level. In particular, we introduce a new cost function for optimizing the weighting coefficients of the elements and a new annealing-based algorithm to compute the lowest cost solutions. Numerical simulations show substantial improvements over standard sparse arrays.
  • Keywords
    biomedical ultrasonics; numerical analysis; simulated annealing; ultrasonic arrays; 2D matrix probes; active elements; annealing-based algorithm; grating-lobe level; irregular element positioning; medical ultrasound; numerical simulations; optimal 2D nongrid sparse arrays; sparse-array design technique; three-dimensional imaging; weighting coefficients; Convergence; Cooling; Cost function; Medical image processing; Three dimensional displays; Ultrasonic imaging; 2-D array; 3-D imaging; simulated annealing; sparse array; ultrasound imaging; Algorithms; Computer Simulation; Imaging, Three-Dimensional; Models, Biological; Neoplasms; Phantoms, Imaging; Ultrasonography;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2267742
  • Filename
    6529099