A5101545797- Ultrasound Imaging and Elastography
- Photoacoustic and Ultrasonic Imaging
- Ultrasonics and Acoustic Wave Propagation
- Ultrasound and Hyperthermia Applications
- Liver Disease Diagnosis and Treatment
- Cardiovascular Health and Disease Prevention
- Cerebrovascular and Carotid Artery Diseases
- Coronary Interventions and Diagnostics
- Advanced MRI Techniques and Applications
- Flow Measurement and Analysis
- COVID-19 diagnosis using AI
- Crystallization and Solubility Studies
- Analytical Chemistry and Chromatography
- Microwave Imaging and Scattering Analysis
- Elasticity and Material Modeling
- Chemical and Physical Properties in Aqueous Solutions
- Ultrasound in Clinical Applications
- Hepatocellular Carcinoma Treatment and Prognosis
- Sparse and Compressive Sensing Techniques
- Advanced Wireless Communication Techniques
- Non-Invasive Vital Sign Monitoring
- PAPR reduction in OFDM
- Cardiac Imaging and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- Molecular Sensors and Ion Detection
Tsinghua University
2016-2025
Center for Life Sciences
2020-2024
Wuhan Children's Hospital
2009-2024
Weatherford College
2024
Huazhong University of Science and Technology
2024
Jishou University
2020-2022
Hubei University of Medicine
2021
Sun Yat-sen University
2020-2021
Changzhou Vocational Institute of Engineering
2018-2021
The First Affiliated Hospital, Sun Yat-sen University
2020
Contrast enhanced ultrasound is a radiation-free imaging modality which uses encapsulated gas microbubbles for improved visualization of the vascular bed deep within tissue. It has recently been used to enable with unprecedented subwavelength spatial resolution by relying on super-resolution techniques. A typical preprocessing step in separate microbubble signal from cluttering tissue signal. This crucial impact final image quality. Here, we propose new approach clutter removal based robust...
By localizing microbubbles (MBs) in the vasculature, ultrasound localization microscopy (ULM) has recently been proposed, which greatly improves spatial resolution of (US) imaging and will be helpful for clinical diagnosis. Nevertheless, several challenges remain fast ULM imaging. The main problems are that current methods used to implement imaging, e.g., a previously reported method based on sparse recovery (CS-ULM), suffer from long data-processing time exhaustive parameter tuning...
Image reconstruction from radio-frequency (RF) data is crucial for ultrafast plane wave ultrasound (PWUS) imaging. Compared with the traditional delay-and-sum (DAS) method based on relatively imprecise assumptions, sparse regularization (SR) directly solves inverse problem of image and has presented significant improvement in quality when frame rate remains high. However, computational complexity SR too high practical implementation, which inherently associated its iterative process. In this...
A novel beamforming technique, named compressed sensing based synthetic transmit aperture (CS-STA) is proposed to speed up the acquisition of ultrasound imaging. This technique consists three steps. First, transducer transmits randomly apodized plane waves for a number times and receives backscattered echoes. Second, recorded echoes are used recover full channel dataset (STA) with (CS) reconstruction algorithm. Finally, an STA image beamformed from recovered dataset. As CS allows recovering...
The morphological and hemodynamic changes of microvessels are demonstrated to be related the diseased conditions in tissues. Ultrafast power Doppler imaging (uPDI) is a novel modality with significantly increased sensitivity, benefiting from ultrahigh frame rate plane-wave (PWI) advanced clutter filtering. However, unfocused transmission often leads low quality, which degrades subsequent microvascular visualization imaging. Coherence factor (CF)-based adaptive beamformers have been widely...
The change of microvasculature is associated with the occurrence and development many diseases. Ultrafast power Doppler imaging (uPDI) an emerging technology for visualization microvessels due to ultrafast plane wave (PW) advanced clutter filters. However, low signal-to-noise ratio (SNR) caused by unfocused transmit PW deteriorates subsequent microvasculature. Nonlocal means (NLM) filtering has been demonstrated be effective in denoising both natural medical images, including ultrasound...
As a typical chronic kidney disease (CKD), hypertensive nephrosclerosis (HN) is common syndrome of hypertension, characterized by microvascular damage. Early diagnosis damage using conventional ultrasound imaging encounters challenges in sensitivity and specificity owing to the inherent diffraction limit. Ultrasound localization microscopy (ULM) has been developed obtain microvasculature hemodynamics within kidney, would be promising tool for early CKD.In this study, advantage quantitative...
Objective The purpose of this study is to detect the hemodynamic changes microvessels in early stage diabetic kidney disease (DKD) and test feasibility ultrasound localization microscopy (ULM) diagnosis DKD. Methods In study, streptozotocin (STZ) induced DKD rat model was used. Normal rats served as control group. Conventional ultrasound, contrast‐enhanced (CEUS), ULM data were collected analyzed. cortex divided into four segments, which are 0.25–0.5 mm (Segment 1), 0.5–0.75 2), 0.75–1 3),...
Specific patterns of lung ultrasound (LUS) images are used to assess the severity coronavirus disease 2019 (COVID-19) pneumonia, while such assessment is mainly based on clinicians' qualitative and subjective observations. In this study, we quantitatively analyze LUS COVID-19 pneumonia by characterizing related pleural line (PL) B-lines (BLs). Twenty-seven patients with including 13 moderate cases, seven severe critical enrolled. Features PL, thickness (TPL) roughness PL (RPL), mean (MPLI)...
Conventional phase-contrast cardiovascular magnetic resonance (PC-CMR) employs cine-based acquisitions to assess blood flow condition, in which electro-cardiogram (ECG) gating and respiration control are generally required. This often results lower acquisition efficiency, limited utility the presence of pathology (e.g., cardiac arrhythmia). Real-time PC-CMR, without ECG control, is a promising alternative that could overcome limitations conventional approach. But real-time PC-CMR involves...
High-quality motion estimation is essential for ultrasound elastography (USE). Traditional algorithms based on speckle tracking such as normalized cross correlation (NCC) or regularization global (GLUE) are time-consuming. In order to reduce the computational cost and ensure accuracy of estimation, many convolutional neural networks have been introduced into USE. Most these radio-frequency modified pyramid, warping volume network (RFMPWC-Net) supervised need ground truths labels in training....
Coherent plane wave compounding (PWC) using tens of steered waves (PWs) can obtain high-quality ultrasound images but reduces the gain in frame rate. Recently a new strategy convolutional neural network (CNN) was proposed to recover from only 3 PWs. Considering excellent performance generative adversarial (GAN) image reconstruction, we propose use GAN reconstruct Phantom and vivo experiments are performed. The results PWs, terms contrast ratio lateral resolution competitive with those CNN...
An inorganic metal-free nanoplatform, PSMA-targeted arsenic nanosheets (PMANs), offers a promising strategy for prostate cancer therapy through potently inducing ferroptotic cell death and overcoming chemotherapeutic resistance.
According to the linear acoustic theory, channel data of a plane wave emitted by array is combination full set synthetic transmit aperture (STA). Combining this relationship with compressed sensing (CS), novel CS based ultrasound beamforming strategy, named (CS-STA), was previously proposed increase frame rate imaging without sacrificing image quality for array. In paper, assuming transfer function pulse-echo system, we derived and applied theory CS-STA slightly curved validated in convex...
Abstract Contrast enhanced ultrasound is a radiation-free imaging modality which uses encapsulated gas microbubbles for improved visualization of the vascular bed deep within tissue. It has recently been used to enable with unprecedented subwavelength spatial resolution by relying on super-resolution techniques. A typical preprocessing step in separate microbubble signal from cluttering tissue signal. This crucial impact final image quality. Here, we propose new approach clutter removal...
Transient elastography quantifies the propagation of a mechanically generated shear wave within soft tissue, which can be used to characterize elasticity and viscosity parameters tissue. The aim our study was combine numerical simulation clinical assessment define viscoelastic index liver tissue improve quality early diagnosis fibrosis. This is clinically relevant, as fibrosis reversible. We developed an idealized two-dimensional axisymmetric finite element model evaluate effects different...