Quantification of Morphological Features in Non-Contrast-Enhanced Ultrasound Microvasculature Imaging

Area of Science:

• Medical Imaging
• Biomedical Engineering
• Quantitative Ultrasound

Background:

• Microvascular morphological features differ significantly between cancerous and noncancerous tissues.
• Quantification of these features is crucial for disease diagnosis and tumor classification.
• Analyzing microvessel morphology in ultrasound Doppler imaging presents technical challenges.

Purpose of the Study:

• To develop and validate methods for quantifying microvascular morphological features from ultrasound Doppler imaging.
• To enable quantitative analysis of microvasculature structures using image enhancement and feature extraction.
• To assess the utility of these quantitative features in differentiating diseased tissues.

Main Methods:

• Proposed image enhancement techniques for regularizing microvasculature images.
• Morphological feature extraction methods, including skeletonization, diameter, and length analysis.
• Additional filtering methods to preserve large vessel trunks for accurate tortuosity measurements.

Main Results:

• Successfully applied methods to in vivo ultrasound Doppler images of breast lesions and thyroid nodules.
• Demonstrated significant differentiation between malignant and benign breast lesions (p < 0.005).
• Showed significant differentiation between malignant and benign thyroid nodules (p < 0.01).

Conclusions:

• The developed tool enables quantification of microvasculature from non-contrast ultrasound imaging.
• Microvessel morphological features show potential as biomarkers for disease diagnosis.
• This approach may improve diagnostic accuracy for conditions like breast cancer and thyroid nodules.