Advanced Ultrasound and Photoacoustic Imaging in Cardiology

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Cardiology

Background:

• Cardiovascular diseases (CVDs) are a leading global cause of mortality.
• Accurate diagnosis is crucial for effective CVD management and treatment.
• Ultrasound (US) imaging is a primary clinical tool for CVD diagnosis.

Purpose of the Study:

• To review technological advancements in US imaging and photoacoustic imaging (PAI) for CVD diagnosis.
• To highlight the impact of deep learning (DL) on US imaging for cardiovascular applications.

Main Methods:

• Review of recent developments in US imaging, particularly those incorporating deep learning (DL).
• Exploration of photoacoustic imaging (PAI) as a novel method for tissue characterization.
• Focus on applications of these imaging modalities in diagnosing cardiovascular diseases.

Main Results:

• Deep learning (DL) has significantly advanced ultrasound (US) imaging capabilities for cardiovascular diagnosis.
• Photoacoustic imaging (PAI) offers unique capabilities for assessing tissue function based on optical contrast.
• Both US and PAI show promise for improved CVD detection and characterization.

Conclusions:

• Technological progress in US imaging, driven by DL, and PAI offers new avenues for cardiovascular disease diagnosis.
• These advanced imaging techniques have the potential to improve patient outcomes through earlier and more accurate CVD assessment.