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^*, Navchetan Awasthi^*, Nastaran Mohammadian Rad, Josien P. W. Pluim, Richard G. P. Lopata

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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 language	English
Article number	7947
Number of pages	24
Journal	Sensors
Volume	21
Issue number	23
DOIs	https://doi.org/10.3390/S21237947
Publication status	Published - Dec 2021
Externally published	Yes

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10.3390/S21237947Licence: CC BY

Cite this

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title = "Advanced Ultrasound and Photoacoustic Imaging in Cardiology.",

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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