A5022062699- Photoacoustic and Ultrasonic Imaging
- Ultrasound Imaging and Elastography
- Ultrasound and Hyperthermia Applications
- Ultrasonics and Acoustic Wave Propagation
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Renal cell carcinoma treatment
- Renal and related cancers
- Flow Measurement and Analysis
- Cancer, Lipids, and Metabolism
- Radiomics and Machine Learning in Medical Imaging
- Congenital heart defects research
- Antimicrobial Peptides and Activities
- Biosensors and Analytical Detection
- Cardiovascular Health and Disease Prevention
- Digital Imaging for Blood Diseases
- Intracerebral and Subarachnoid Hemorrhage Research
- Single-cell and spatial transcriptomics
- Thyroid Cancer Diagnosis and Treatment
- Thermal Regulation in Medicine
- Zebrafish Biomedical Research Applications
- Tannin, Tannase and Anticancer Activities
- Cancer, Hypoxia, and Metabolism
- Mathematical Biology Tumor Growth
- Virus-based gene therapy research
University of Illinois Urbana-Champaign
2020-2025
Duke University
2025
Illinois College
2023
Mayo Clinic
2018-2021
Mayo Clinic in Arizona
2018-2020
University of Minnesota Rochester
2018-2019
Western University
2016-2018
Robarts Clinical Trials
2013-2017
Abstract Aging-related cognitive decline is an emerging health crisis; however, no established unifying mechanism has been identified for the impairments seen in aging population. A vascular hypothesis of proposed but difficult to test given requirement high-fidelity microvascular imaging resolution with a broad and deep brain field view, which restricted by fundamental trade-off penetration depth resolution. Super-resolution ultrasound localization microscopy (ULM) offers potential solution...
Abstract Ultrasound localization microscopy (ULM) enables deep tissue microvascular imaging by localizing and tracking intravenously injected microbubbles circulating in the bloodstream. However, conventional techniques require spatially isolated microbubbles, resulting prolonged time to obtain detailed maps. Here, we introduce LOcalization with Context Awareness (LOCA)-ULM, a learning-based microbubble simulation pipeline designed enhance performance high concentrations. In silico, LOCA-ULM...
Abstract Super-resolution ultrasound localization microscopy (ULM), based on and tracking of individual microbubbles (MBs), offers unprecedented microvascular imaging resolution at clinically relevant penetration depths. However, ULM is currently limited by the requirement dilute MB concentrations to ensure spatially sparse events for accurate tracking. The corresponding long acquisition times (tens seconds or several minutes) accumulate sufficient isolated full reconstruction...
Contrast microbubble (MB)-based super-resolution ultrasound microvessel imaging (SR-UMI) overcomes the compromise in conventional between spatial resolution and penetration depth has been successfully applied to a wide range of clinical applications. However, translation SR-UMI remains challenging due limited number MBs detected within given accumulation time. Here, we propose Kalman filter-based method for robust MB tracking improved blood flow speed measurement with reduced numbers MBs. An...
Abstract Ultrasound localization microscopy (ULM) permits the reconstruction of super-resolved microvascular images at clinically relevant penetration depths, which can be potentially leveraged to provide non-invasive quantitative measures tissue hemodynamics and hypoxic status. We demonstrate that ULM microbubble data processing methods, applied acquired with a Verasonics Vantage 256 system, imaging surrogate biomarker oxygenation This technique was evaluate structure, vascular perfusion,...
Ultrasound localization microscopy (ULM) is an emerging vascular imaging technique that overcomes the resolution-penetration compromise of ultrasound imaging. Accurate and robust microbubble (MB) essential for successful ULM. In this study, we present a deep learning (DL)-based uses both Field-II simulation <i>in vivo</i> chicken embryo chorioallantoic membrane (CAM) data training. Both radio frequency (RF) in-phase quadrature (IQ) were tested in study. The experiment shows proposed DL-based...
Ultrasound localization microscopy is a super-resolution imaging technique that exploits the unique characteristics of contrast microbubbles to side-step fundamental trade-off between resolution and penetration depth. However, conventional reconstruction confined low microbubble concentrations avoid tracking errors. Several research groups have introduced sparsity- deep learning-based approaches overcome this constraint extract useful vascular structural information from overlapping signals,...
Increasing evidence has suggested a link between cerebrovascular disease and the cognitive impairment associated with Alzheimer's Disease. However, detailed descriptions of microvascular changes across brain regions how they relate to other more traditional pathology have been lacking. Additionally, efforts elucidate interplay cerebral function Disease progression are complicated by necessity probing deep-brain structures since early-stage typically involves hippocampal pathology. The...
With the widespread interest and uptake of super-resolution ultrasound (SRUS) through localization tracking microbubbles, also known as microscopy (ULM), many algorithms have been developed. ULM can image centimeters into tissue in-vivo track microvascular flow non-invasively with sub-diffraction resolution. In a significant community effort, we organized challenge, Ultrasound Localization TRacking Algorithms for Super-Resolution (ULTRA-SR). The aims this paper are threefold: to describe...
To improve the spatial resolution of power Doppler (PD) imaging, we explored null subtraction imaging (NSI) as an alternative beamforming technique to delay-and-sum (DAS). NSI is a nonlinear approach that uses three different apodizations on receive and incoherently sums beamformed envelopes. in beam pattern lateral resolution, which apply here for improving PD both with without contrast microbubbles. In this study, used types singular value decomposition (SVD)-based clutter filters noise...
Abstract Ultrasound microvessel imaging (UMI), when applied with ultrafast planewave acquisitions, has demonstrated superior blood signal sensitivity in comparison to conventional Doppler imaging. Here we propose a high spatial resolution and ultra-sensitive UMI that is based on line-by-line high-frequency ultrasound imagers singular value decomposition (SVD) clutter filtering for the visualization quantification of tumor microvasculature perfusion. The technique was chicken embryo model...
Acoustic radiation force (ARF)-based shear wave elastography (SWE) is a clinically available ultrasound imaging mode that noninvasively and quantitatively measures tissue stiffness. Current implementations of ARF-SWE are largely limited to 2-D imaging, which does not provide robust estimation heterogeneous mechanical properties. Existing 3-D solutions based on wobbler probes, cannot true motion detection. Although matrix arrays have been previously demonstrated, they do practical solution...
Ultrasound localization microscopy (ULM) enabled high-accuracy measurements of microvessel flow beyond the resolution limit conventional ultrasound imaging by utilizing contrast microbubbles (MBs) as point targets. Robust tracking MBs is an essential task for fast and high-quality ULM image reconstruction. Existing MB methods suffer from challenging scenarios such high-density distributions, blood flow, complex dynamics. Here we present a deep learning-based pairing method based on...
Super-resolution ultrasound (SRUS) imaging through localizing and tracking microbubbles, also known as localization microscopy (ULM), has achieved unprecedented resolution in deep tissue vivo. In this review we will focus on the key technical steps of ULM, including data acquisition clutter removal, motion correction, localization, tracking, final image visualization, well offering authors' perspectives techniques. each steps, what been done state art, describe factors parameters that...
Ultrasound localization microscopy (ULM) is an emerging imaging modality that resolves microvasculature in deep tissues with high spatial resolution. However, existing preclinical ULM applications are largely constrained to anesthetized animals, introducing confounding vascular effects such as vasodilation and altered hemodynamics. As such, quantifications (e.g., vessel diameter, density, flow velocity) may be confounded by the use of anesthesia, undermining usefulness practice. Here we...
Albendazole is an anti-helminthic drug that has been shown to exhibit anti-cancer properties, however its activity in head and neck squamous cell cancer (HNSCC) was unknown. Using a series of vitro assays, we assessed the ability albendazole inhibit proliferation 20 HNSCC lines across range doses (1 nM-10 μM). Cell responded treatment were further examined for death, inhibition migration cycle arrest. Thirteen fourteen human papillomavirus-negative albendazole, with average IC50 152 nM. In...
We report the time kinetics of fluorescently labeled microbubbles (MBs) in capillary-level microvasculature as measured via confocal microscopy and compare these results to ultrasound localization (ULM). The observed 19.4 ± 4.2 MBs per field-of-view ( [Formula: see text]) are excellent agreement with expected count 19.1 frame. estimated fully perfuse this capillary network was 193 s, which corroborates values reported literature. then modeled an empirically determined discrete-time Markov...
RXRA is an endothelial- and early stage–predominant therapeutic target for treating anthracycline-induced cardiotoxicity.
Objective. To develop a 3D shear wave elastography (SWE) technique using 2D row column addressing (RCA) array, with either external vibration or acoustic radiation force (ARF) as the source. Impact Statement. The proposed method paves way for clinical translation of SWE based on RCA, providing low-cost and high volume rate solution that is compatible existing systems. Introduction. an established ultrasound imaging modality provides direct quantitative assessment tissue stiffness, which...
Super-resolution ultrasound microvessel imaging based on localization microscopy (ULM) is an emerging modality that capable of resolving micrometer-scaled vessels deep into tissue. In practice, ULM limited by the need for contrast injection, long data acquisition, and computationally expensive postprocessing times. this study, we present a contrast-free super-resolution power Doppler (CS-PD) technique uses networks to achieve with short acquisition. The training dataset comprised...