[A review on motion tracking methods for left myocardium based on cardiac cine magnetic resonance image]

Area of Science:

• Cardiovascular Imaging
• Biomedical Engineering
• Medical Physics

Background:

• Cardiac cine magnetic resonance imaging (CCMRI) offers high spatiotemporal resolution for evaluating cardiac function.
• Left myocardial motion tracking is vital for diagnosing and treating cardiovascular diseases like myocardial ischemia.
• Tracking left ventricular myocardium motion is challenging due to its homogeneous nature and sparse motion information.

Purpose of the Study:

• To introduce CCMRI imaging techniques for myocardial motion tracking.
• To detail and summarize various approaches for left myocardial motion tracking using CCMRI.
• To provide a comprehensive understanding and theoretical reference for researchers in this field.

Main Methods:

• Review of existing CCMRI imaging techniques relevant to myocardial motion tracking.
• Detailed description and categorization of segmentation-based motion tracking approaches for left myocardium.
• Analysis of how these methods utilize spatiotemporal characteristics and structural information.

Main Results:

• CCMRI techniques provide effective tools for evaluating cardiac function.
• Current motion tracking approaches leverage CCMRI's spatiotemporal and structural data to overcome information sparsity.
• These methods offer a theoretical basis for beginners and researchers.

Conclusions:

• Motion tracking approaches based on CCMRI effectively utilize image characteristics for left ventricular myocardium analysis.
• Despite advancements, improved constraint frameworks and verification methods are needed.
• Further optimization of CCMRI-based myocardial motion tracking is essential for cardiovascular disease diagnosis.