Enhancing Row-Column Array (RCA)-Based 3D Ultrasound Vascular Imaging With Spatial-Temporal Similarity Weighting

Area of Science:

• Medical Imaging
• Biomedical Engineering
• Ultrasound Technology

Background:

• Ultrasound vascular imaging (UVI) is crucial for diagnosing vascular diseases.
• Transitioning to 3D UVI enhances visualization but faces challenges with row-column array (RCA) imaging, including sidelobe artifacts and low signal-to-noise ratio (SNR).
• Existing methods struggle to adequately address these limitations in ultrafast RCA-based UVI.

Purpose of the Study:

• To develop and validate a novel spatial-temporal similarity weighting (St-SW) method for ultrafast 3D UVI using RCA.
• To overcome the challenges of high sidelobe artifacts and low SNR inherent in RCA imaging.
• To improve the reliability and diagnostic accuracy of 3D UVI.

Main Methods:

• Proposed a spatial-temporal similarity weighting (St-SW) method exploiting orthogonal transmission incoherence.
• Conducted comparative analyses using simulations, in vitro blood flow phantoms, and in vivo experiments.
• Evaluated performance against established techniques: orthogonal plane wave imaging (OPW), row-column-specific frame-multiply-and-sum beamforming (RC-FMAS), and XDoppler.

Main Results:

• The St-SW method significantly reduced sidelobe levels in simulations (up to 31.3 dB improvement).
• In phantom studies, St-SW markedly improved contrast-to-noise ratio (CNR) (up to 26.8 dB improvement).
• In vivo experiments demonstrated more complete vasculature reconstruction and enhanced CNR (>15 dB improvement) compared to existing methods.

Conclusions:

• The proposed St-SW method effectively suppresses sidelobe artifacts and noise in RCA-based 3D UVI under low SNR conditions.
• This technique leads to superior visualization of 3D vasculatures, enhancing diagnostic potential.
• St-SW offers a promising advancement for cost-effective, high-quality 3D vascular imaging.