Current development and applications of super-resolution ultrasound imaging

Qiyang Chen, Hyeju Song, Jaesok Yu, Kang Kim

Research output: Contribution to journalReview articlepeer-review

33 Scopus citations

Abstract

Abnormal changes of the microvasculature are reported to be key evidence of the development of several critical diseases, including cancer, progressive kidney disease, and atherosclerotic plaque. Super-resolution ultrasound imaging is an emerging technology that can identify the mi-crovasculature noninvasively, with unprecedented spatial resolution beyond the acoustic diffraction limit. Therefore, it is a promising approach for diagnosing and monitoring the development of diseases. In this review, we introduce current super-resolution ultrasound imaging approaches and their preclinical applications on different animals and disease models. Future directions and challenges to overcome for clinical translations are also discussed.

Original languageEnglish
Article number2417
JournalSensors
Volume21
Issue number7
DOIs
StatePublished - 1 Apr 2021

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Clinical applications
  • Deep learning
  • Super-resolution
  • Ultrasound imaging

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