A5085319299- Seismic Imaging and Inversion Techniques
- Cardiac tumors and thrombi
- Radiomics and Machine Learning in Medical Imaging
- Seismic Waves and Analysis
- Cardiac Structural Anomalies and Repair
- Medical Imaging Techniques and Applications
- Sparse and Compressive Sensing Techniques
- Peptidase Inhibition and Analysis
- Seismology and Earthquake Studies
- Vascular Tumors and Angiosarcomas
- Sarcoma Diagnosis and Treatment
- Advanced X-ray and CT Imaging
- Protease and Inhibitor Mechanisms
- Neurofibromatosis and Schwannoma Cases
- Lymphoma Diagnosis and Treatment
- Image and Signal Denoising Methods
- Geophysical Methods and Applications
- Medical Imaging and Pathology Studies
- Distributed Sensor Networks and Detection Algorithms
- Control Systems and Identification
- Cardiac Imaging and Diagnostics
- Cancer Immunotherapy and Biomarkers
- Adrenal and Paraganglionic Tumors
- Transplantation: Methods and Outcomes
- Myasthenia Gravis and Thymoma
Guangdong Academy of Medical Sciences
2016-2025
Southern Medical University
2012-2025
Guangdong Provincial People's Hospital
2013-2025
Key Laboratory of Guangdong Province
2023
Georgia Institute of Technology
2014-2021
Guangdong General Hospital
2016-2019
Yokohama City University
2018
Medtronic (China)
2013
University of Southern California
2012-2013
Seismic data comprise many traces that provide a spatiotemporal sampling of the reflected wavefield. However, such information may suffer from ambient and random noise during acquisition, which could possibly limit use seismic in reservoir locating. Traditionally, fixed transforms are used to separate by exploiting their different characteristics transform domain. performance not be satisfactory due lack adaptability changing structures. We have developed novel denoising method based on...
Fluorine 18-labeled fibroblast activation protein inhibitor (18F-FAPI-04) positron emission tomography/computed tomography (PET/CT) has shown promise for the visualization of advanced stage lung cancer. The accuracy 18F-FAPI-04 compared with that fluorine-18 labeled-fluorodeoxyglucose (18F-FDG) in detecting early adenocarcinoma (LUAD) remains unknown. Taking surgical pathology pulmonary nodule as gold standard, diagnostic performance IA LUAD were between PET/CT and 18F-FDG PET/CT,...
Full-waveform inversion (FWI) delivers high-resolution images of the subsurface by minimizing iteratively misfit between recorded and calculated seismic data. We have attacked this successfully with Gauss-Newton method sparsity-promoting regularization based on fixed multiscale transforms that permit significant subsampling data when model perturbation at each FWI data-fitting iteration can be represented sparse coefficients. Rather than using analytical predefined dictionaries to achieve...
Reliable detection and recovery of a microseismic event in large volume passive monitoring data is usually challenging task due to the low signal-to-noise ratio environment. The accuracy weak identification very important step analysis interpretation data. This paper introduces an approach for detecting (presence indication) denoising (accurate recovery) events using tensor decomposition by considering time-frequency representation multiple traces as 3-D tensor. A multiway array having...
In this paper, an efficient numerical scheme is presented for seismic blind deconvolution in a multichannel scenario. The proposed method iterate with two steps: first, wavelet estimation across all channels and second, refinement of the reflectivity estimate simultaneously using sparse deconvolution. update step formulated as basis pursuit denoising problem solution obtained spectral projected-gradient algorithm-faithfulness to recorded traces constrained by measured noise level. Wavelet...
ABSTRACT Passive microseismic data are commonly buried in noise, which presents a significant challenge for signal detection and recovery. For recordings from surface sensor array where each trace contains time‐delayed arrival the event, we propose an autocorrelation‐based stacking method that designs denoising filter all traces, as well multi‐channel scheme. This approach circumvents issue of time aligning traces prior to because every trace's autocorrelation is centred at zero lag domain....
Abstract Background This study aimed to retrospectively evaluate the feasibility of total-body 18 F-FDG PET/CT ultrafast acquisition combined with a deep learning (DL) image filter in diagnosis colorectal cancers (CRCs). Methods The clinical and preoperative imaging data patients CRCs were collected. All underwent 300-s list-mode scan. dataset was divided into groups durations 10, 20, 30, 60, 120 s. PET images reconstructed using ordered subset expectation maximisation, post-processing...
Abstract Background The prostate‐specific membrane antigen (PSMA) targeted positron‐emitting tomography (PET) tracers are increasingly used in clinical practice, with novel constantly being developed. Recently, 18 F‐PSMA‐11 has been gaining growing interest for several merits; however, direct vivo visualization of its kinetic features humans remains lacking. Purpose To visualize the healthy subjects and patients prostate cancer derived from total‐body dynamic PET scans. Methods A total 8...
In this paper, we examine adaptive compression policies, when the sequence of vector-valued measurements to be compressed is noisy and variables are themselves noisy. The optimization criterion information gain. case sequential scalar compressions, unit-norm vectors that greedily maximize per-stage gain eigenvectors an a priori error covariance matrix, greedy policy selects them according eigenvalues posterior matrix. These depend on all previous compressions computed recursively. A...
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A 36-year-old woman with a 2-week history of fever and markedly elevated lactate dehydrogenase levels. Nonenhanced CT contrast-enhanced showed hepatosplenomegaly, diffusely decreased attenuation the liver, homogeneous enhancement in hepatic splenic parenchyma. F-FDG PET/CT revealed diffuse intense heterogeneous uptake by liver (like superscan bone scintigraphy). needle biopsy confirmed diagnosis hepatosplenic alphabeta T-cell lymphoma. Subsequently, she received chemotherapy. The follow-up spleen.
[1] Sparse geologic dictionaries provide a novel approach for subsurface flow model representation and calibration. Learning sparse from prior training data sets is an effective to describe complex connectivity patterns in imaging applications. However, the computational cost of learning algorithms becomes prohibitive large models. Performing dictionary process on smaller image patches (segments) provides simple address this problem processing underdetermined calibration inverse problems,...
Abstract MicroRNAs (miRNAs) have been confirmed to play pivotal roles in hepatocellular carcinoma (HCC) carcinogenesis. However, the underlying function of microRNA‐33b (miR‐33b) HCC remains unclear. Here, we found that miR‐33b level was significantly reduced both tissues and tumor cell lines. Further, luciferase reporter assay western blot analysis Friend leukemia virus integration 1 (Fli‐1) a direct target miR‐33b. Overexpression dramatically suppressed proliferation mobility, but...
The aim of the present study was to analyze differences in imaging and clinical features between primary pulmonary lymphoma (PPL) secondary (SPL) provide insight into for an improved diagnosis. A retrospective 38 patients with (19 PPL 19 SPL) treated September 1, 2006, December 31, 2015, performed. manifestations, computed tomography (CT) positron emission tomography-CT images each case were collected. χ2 Fisher's exact tests applied assess statistically significant SPL terms features....
18F-FDG PET/CT is a key molecular imaging modality to noninvasively assess and differentiate benign malignant cardiac tumors. However, few tumors can be characterized by increased uptake, which makes differential diagnosis difficult. This study sought retrospectively evaluate whether combined with thoracic contrast-enhanced CT (CECT) helps in assessing primary adult patients, compared CECT or alone. Forty-six consecutive patients who were diagnosed as enrolled. All underwent followed before...
High tumor mutational burden (TMB) is an emerging biomarker of sensitivity to immune checkpoint inhibitors. In this study, we aimed determine the value magnetic resonance (MR)-based preoperative nomogram in predicting TMB status lower-grade glioma (LGG) patients.Overall survival (OS) data were derived from The Cancer Genome Atlas (TCGA) and then analyzed by using Kaplan-Meier method time-dependent receiver operating characteristic (tdROC) analysis. imaging (MRI) 168 subjects obtained Imaging...
Intercostal schwannoma is rare. We report FDG PET/CT findings of intercostal in a 66-year-old woman. The tumor contains both solid and cystic components with intense activity the component. Postsurgical pathology diagnosis revealed schwannoma.
Background Magnitude of current injury (COI) consequent to pacemaker lead fixation is recognized as a predictor acute stability. It unclear whether dynamic monitoring COI after provides additional information beyond single assessment performed at the time fixation. Objectives This study was aimed test hypothesis that course related Methods and Results Active leads with fixed screw were anchored either Langendorff-perfused rabbit hearts endocardially or in vivo epicardially manners contact...
The purpose of this article is to examine the greedy adaptive measurement policy in context a linear Guassian model with an optimization criterion based on information gain. In special case sequential scalar measurements, we provide sufficient conditions under which actually optimal sense maximizing net general setting, also discuss cases where not optimal.