5 papers
Effective Hyper-clutter Artifacts Suppression for Ultrafast Ultrasound Doppler Imaging
Lijie Huang, Jingyi Yin, Jingke Zhang +13
Objective: Hyper-clutter artifacts (HCA), arising from strong tissue reflections or physiological motion, present persistent challenges in ultrafast ultrasound Doppler imaging, oft…
Fast 3D Ultrasound Localization Microscopy via Projection-based Processing Framework
Jingke Zhang, Jingyi Yin, U-Wai Lok +10
Three-dimensional ultrasound localization microscopy (ULM) enables comprehensive visualization of the vasculature, thereby improving diagnostic reliability. Nevertheless, its clini…
Contrast-Free Ultrasound Microvascular Imaging via Radiality and Similarity Weighting
Jingyi Yin, Jingke Zhang, Lijie Huang +14
Microvascular imaging has advanced significantly with ultrafast data acquisition and improved clutter filtering, enhancing the sensitivity of power Doppler imaging to small vessels…
Self-supervised Deep Learning for Denoising in Ultrasound Microvascular Imaging
Lijie Huang, Jingyi Yin, Jingke Zhang +15
Ultrasound microvascular imaging (UMI) is often hindered by low signal-to-noise ratio (SNR), especially in contrast-free or deep tissue scenarios, which impairs subsequent vascular…
Optimizing In Vivo Data Acquisition for Robust Clinical Microvascular Imaging Using Ultrasound Localization Microscopy
Chengwu Huang, U-Wai Lok, Jingke Zhang +12
Ultrasound localization microscopy (ULM) enables microvascular imaging at spatial resolutions beyond the acoustic diffraction limit, offering significant clinical potentials. Howev…