Advanced Ultrasound and Photoacoustic Imaging in Cardiology

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2021 Dec 10

PMID 34883951

Citations 13

Authors

Min Wu

Navchetan Awasthi

Nastaran Mohammadian Rad

Josien P W Pluim

Richard G P Lopata

Affiliations

Soon will be listed here.

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.

Citing Articles

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Defect detection of printed circuit board assembly based on YOLOv5.

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Unsupervised disentanglement strategy for mitigating artifact in photoacoustic tomography under extremely sparse view.

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Optical ultrasound sensors for photoacoustic imaging: a review.

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Mitigating skin tone bias in linear array photoacoustic imaging with short-lag spatial coherence beamforming.

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