Advanced Ultrasound and Photoacoustic Imaging in Cardiology

Min Wu; Navchetan Awasthi; Nastaran Mohammadian Rad; Josien P.W. Pluim; Richard G.P. Lopata

doi:10.3390/s21237947

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

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

23 Citaten (Scopus)

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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.

Originele taal-2	Engels
Artikelnummer	7947
Aantal pagina's	24
Tijdschrift	Sensors
Volume	21
Nummer van het tijdschrift	23
DOI's	https://doi.org/10.3390/s21237947
Status	Gepubliceerd - 1 dec. 2021

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Funding Information:
Funding: This work is funded in part by the 4TU Precision Medicine program supported by High Tech for a Sustainable Future, a framework commissioned by the four Universities of Technology of the Netherlands.

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

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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.",

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N1 - Funding Information: Funding: This work is funded in part by the 4TU Precision Medicine program supported by High Tech for a Sustainable Future, a framework commissioned by the four Universities of Technology of the Netherlands. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

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KW - Segmentation

KW - Ultrasound imaging

KW - Vulnerable plaques

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KW - Ultrasonography

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KW - Cardiovascular System

KW - Photoacoustic Techniques

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Advanced Ultrasound and Photoacoustic Imaging in Cardiology

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