Modeling breast ultrasound; on the applicability of commonly made approximations

Ulas Taskin*, Neslihan Ozmen, Hartmut Gemmeke, Koen W.A. Van Dongen

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    16 Citations (Scopus)
    29 Downloads (Pure)

    Abstract

    To design breast ultrasound scanning systems or to test new imaging methods, various computer models are used to simulate the acoustic wave field propagation through a breast. The computer models vary in complexity depending on the applied approximations. The objective of this paper is to investigate how the applied approximations affect the resulting wave field. In particular, we investigate the importance of taking three-dimensional (3-D) spatial variations in the compressibility, volume density of mass, and attenuation into account. In addition, we compare four 3-D solution methods: a full-wave method, a Born approximation method, a parabolic approximation method, and a ray-based method. Results show that, for frequencies below 1 MHz, the amplitude of the fields scattering off the compressibility or density contrasts are at least 24 dB higher than the amplitude of the fields scattering off the attenuation contrasts. The results also show that considering only speed of sound as a contrast is a valid approximation. In addition, it is shown that the pressure field modeled with the full-wave method is more accurate than the fields modeled using the other three methods. Finally, the accuracy of the full-wave method is location independent whereas the accuracy of the other methods strongly depends on the point of observation.

    Original languageEnglish
    Pages (from-to)425-435
    JournalArchives of Acoustics
    Volume43
    Issue number3
    DOIs
    Publication statusPublished - 2018

    Keywords

    • Breast ultrasound
    • Forward modeling
    • Full-wave method

    Fingerprint

    Dive into the research topics of 'Modeling breast ultrasound; on the applicability of commonly made approximations'. Together they form a unique fingerprint.

    Cite this