Advanced Ultrasound and Photoacoustic Imaging in Cardiology

Min Wu (Corresponding author), Navchetan Awasthi (Corresponding author), Nastaran Mohammadian Rad, Josien P.W. Pluim, Richard G.P. Lopata

Research output: Contribution to journalArticleAcademicpeer-review

20 Citations (Scopus)
141 Downloads (Pure)

Abstract

Cardiovascular diseases (CVDs) remain the leading cause of death worldwide. An effective management and treatment of CVDs highly relies on accurate diagnosis of the disease. As the most common imaging technique for clinical diagnosis of the CVDs, US imaging has been intensively explored. Especially with the introduction of deep learning (DL) techniques, US imaging has advanced tremendously in recent years. Photoacoustic imaging (PAI) is one of the most promising new imaging methods in addition to the existing clinical imaging methods. It can characterize different tissue compositions based on optical absorption contrast and thus can assess the functionality of the tissue. This paper reviews some major technological developments in both US (combined with deep learning techniques) and PA imaging in the application of diagnosis of CVDs.
Original languageEnglish
Article number7947
Number of pages24
JournalSensors
Volume21
Issue number23
DOIs
Publication statusPublished - 1 Dec 2021

Keywords

  • Cardiovascular diseases
  • Deep learning
  • Photoacoustic imaging
  • Segmentation
  • Ultrasound imaging
  • Vulnerable plaques
  • Diagnostic Imaging
  • Ultrasonography
  • Cardiology
  • Cardiovascular System
  • Photoacoustic Techniques

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