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A review of ultrasound detection methods for breast microcalcification

  • Yali Ouyang
  • , Zhuhuang Zhou
  • , Weiwei Wu
  • , Jin Tian
  • , Feng Xu
  • , Shuicai Wu*
  • , Po Hsiang Tsui
  • *Corresponding author for this work
  • Beijing University of Technology
  • Capital Medical University
  • Peking University

Research output: Contribution to journal › Review article › peer-review

49 Scopus citations

Abstract

Breast microcalcifications are one of the important imaging features of early breast cancer and are a key to early breast cancer diagnosis. Ultrasound imaging has been widely used in the detection and diagnosis of breast diseases because of its low cost, nonionizing radiation, and real-time capability. However, due to factors such as limited spatial resolution and speckle noise, it is difficult to detect breast microcalcifications using conventional B-mode ultrasound imaging. Recent studies show that new ultrasound technologies improved the visualization of microcalcifications over conventional B-mode ultrasound imaging. In this paper, a review of the literature on the ultrasonic detection methods of microcalcifications was conducted. The reviewed methods were broadly divided into high-frequency B-mode ultrasound imaging techniques, B-mode ultrasound image processing techniques, ultrasound elastography techniques, time reversal techniques, high spatial frequency techniques, second-order ultrasound field imaging techniques, and photoacoustic imaging techniques. The related principles and research status of these methods were introduced, and the characteristics and limitations of the various methods were discussed and analyzed. Future developments of ultrasonic breast microcalcification detection are suggested.

Original languageEnglish
Pages (from-to)1761-1785
Number of pages25
JournalMathematical Biosciences and Engineering
Volume16
Issue number4
DOIs
StatePublished - 2019

Bibliographical note

Publisher Copyright:
© 2019 the Author(s).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast cancer
  • Computer-aided diagnosis
  • Microcalcification
  • Noninvasive detection
  • Ultrasound imaging

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