ArticleIEEE access : practical innovations, open solutions2020
Quantification of Morphological Features in Non-Contrast-Enhanced Ultrasound Microvasculature Imaging.
Article in IEEE access : practical innovations, open solutions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 39 citations in OpenAlex.
- Microvascular flow imaging in musculoskeletal ultrasound: from technical innovation to clinical integration.Journal of ultrasonography · 2026Review
- High-speed photoacoustic and ultrasonic computed tomography of the breast tumor for early diagnosis with enhanced accuracy.Science advances · 2025Article
- Quantitative microvessel orientation biomarkers derived from contrast free ultrasound imaging for cancer diagnosis.Scientific reports · 2025Article
- Deep learning based motion correction in ultrasound microvessel imaging approach improves thyroid nodule classification.Scientific reports · 2025Article
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- Quantitative assessment of ultrasound microvessel imaging in Crohn's disease: correlation with pathological inflammation.European radiology · 2025Article
- Ultrasound-based quantitative microvasculature imaging for early prediction of response to neoadjuvant chemotherapy in patients with breast cancer.Breast cancer research : BCR · 2025Article
- Fast inter-frame motion correction in contrast-free ultrasound quantitative microvasculature imaging using deep learning.Scientific reports · 2024Article
- Article
- Background Noise Removal in Non-Contrast- Enhanced Ultrasound Microvasculature Imaging Using Combined Collaborative, Morphological, and Vesselness Filtering.IEEE access : practical innovations, open solutions · 2024Article
- Article
- Contrast-free ultrasound imaging for blood flow assessment of the lower limb in patients with peripheral arterial disease: a feasibility study.Scientific reports · 2023Article
- Noninvasive prediction of axillary lymph node breast cancer metastasis using morphometric analysis of nodal tumor microvessels in a contrast-free ultrasound approach.Breast cancer research : BCR · 2023Article
- Article
- Morphometric analysis of tumor microvessels for detection of hepatocellular carcinoma using contrast-free ultrasound imaging: A feasibility study.Frontiers in oncology · 2023Article
- Volumetric imaging and morphometric analysis of breast tumor angiogenesis using a new contrast-free ultrasound technique: a feasibility study.Breast cancer research : BCR · 2022Article
- Adaptive and Robust Vessel Quantification in Contrast-Free Ultrafast Ultrasound Microvessel Imaging.Ultrasound in medicine & biology · 2022Article
- Hybrid high-definition microvessel imaging/shear wave elastography improves breast lesion characterization.Breast cancer research : BCR · 2022Article
- Emerging Feature Extraction Techniques for Machine Learning-Based Classification of Carotid Artery Ultrasound Images.Computational intelligence and neuroscience · 2022Article
- Quantitative Biomarkers for Cancer Detection Using Contrast-Free Ultrasound High-Definition Microvessel Imaging: Fractal Dimension, Murray's Deviation, Bifurcation Angle & Spatial Vascularity Pattern.IEEE transactions on medical imaging · 2021Article
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4 authors at 1 institution in 1 country.
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Abstract
There are significant differences in microvascular morphological features in diseased tissues, such as cancerous lesions, compared to noncancerous tissue. Quantification of microvessel morphological features could play an important role in disease diagnosis and tumor classification. However, analyzing microvessel morphology in ultrasound Doppler is a challenging task due to limitations associated with this technique. Our main objective is to provide methods for quantifying morphological features of microvasculature obtained by ultrasound Doppler imaging. To achieve this goal, we propose multiple image enhancement techniques and appropriate morphological feature extraction methods that enable quantitative analysis of microvasculature structures. Vessel segments obtained by the skeletonization of the regularized microvasculature images are further analyzed to satisfy other constraints, such as vessel segment diameter and length. Measurements of some morphological metrics, such as tortuosity, depend on preserving large vessel trunks. To address this issue, additional filtering methods are proposed. These methods are tested on in vivo images of breast lesion and thyroid nodule microvasculature, and the outcomes are discussed. Initial results show that using vessel morphological features allows for differentiation between malignant and benign breast lesions (p-value < 0.005) and thyroid nodules (p-value < 0.01). This paper provides a tool for the quantification of microvasculature images obtained by non-contrast ultrasound imaging, which may serve as potential biomarkers for the diagnosis of some diseases.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.