ArticleIEEE transactions on bio-medical engineering2019
Background Removal and Vessel Filtering of Noncontrast Ultrasound Images of Microvasculature.
Article in IEEE transactions on bio-medical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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30 citing papers in PubMed.
- Self-supervised Deep Learning for Denoising in Ultrasound Microvascular Imaging.Biomedical signal processing and control · 2026Article
- 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
- Quantitative assessment of ultrasound microvessel imaging in Crohn's disease: correlation with pathological inflammation.European radiology · 2025Article
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- 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
- Reduced osteoprotegerin expression by osteocytes may contribute to rebound resorption after denosumab discontinuation.JCI insight · 2023Article
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- Multi-layered adaptive neoangiogenesis Intra-Operative quantification (MANIOQ).Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
- Mapping Pharmacologically Evoked Neurovascular Activation and Its Suppression in a Rat Model of Tremor Using Functional Ultrasound: A Feasibility Study.Sensors (Basel, Switzerland) · 2023Article
- 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
- Combining Spatial Registration With Clutter Filtering for Power-Doppler Imaging in Peripheral Perfusion Applications.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022Article
- Volumetric imaging and morphometric analysis of breast tumor angiogenesis using a new contrast-free ultrasound technique: a feasibility study.Breast cancer research : BCR · 2022Article
- Hybrid high-definition microvessel imaging/shear wave elastography improves breast lesion characterization.Breast cancer research : BCR · 2022Article
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3 authors.
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Abstract
objectiveRecent advances in ultrasound Doppler imaging have made it possible to visualize small vessels with diameters near the imaging resolution limits using spatiotemporal singular value thresholding of long ensembles of ultrasound data. However, vessel images derived based on this method present severe intensity variations and additional background noise that limits visibility and subsequent processing such as centerline extraction and morphological analysis. The goal of this paper is to devise a method to enhance vessel-background separation directly on the power Doppler images by exploiting blood echo-noise independence.
methodWe present a two-step algorithm to mitigate these adverse effects when using singular value thresholding for obtaining gross vasculature images. Our method comprises a morphological-based filtering for removing global and local background signals and a multiscale Hessian-based vessel enhancement filtering to further improve the vascular structures. We applied our method for in vivo imaging of the microvasculature of kidney in one healthy subject, liver in five healthy subjects, thyroid nodules in five patients, and breast tumors in five patients.
resultsSingular value thresholding, top-hat filtering, and Hessian-based vessel enhancement filtering each provided an average peak-to-side level gain of 1.11, 18.55, and 2.26 dB, respectively, resulting in an overall gain of 21.92 dB when compared to the conventional power Doppler imaging using infinite impulse response filtering.
conclusionSingular value thresholding combined with morphological and Hessian-based vessel enhancement filtering provides a powerful tool for visualization of the deep-seated small vessels using long ultrasound echo ensembles without requiring any type of contrast enhancing agents. SIGNIFICANCE: This method provides a fast and cost-effective modality for in vivo assessment of the microvasculature suitable for both clinical and preclinical applications.
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