A5100675032- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Advanced Neuroimaging Techniques and Applications
- Medical Image Segmentation Techniques
- Cardiac Imaging and Diagnostics
- Medical Imaging Techniques and Applications
- Lymphatic System and Diseases
- Radiology practices and education
- Cardiovascular Function and Risk Factors
- Systemic Sclerosis and Related Diseases
- Dental Radiography and Imaging
- Functional Brain Connectivity Studies
- Atomic and Subatomic Physics Research
- Cardiovascular Health and Disease Prevention
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Peripheral Nerve Disorders
- Geoscience and Mining Technology
- Digital Radiography and Breast Imaging
- Renal cell carcinoma treatment
- Advanced X-ray Imaging Techniques
- Photoacoustic and Ultrasonic Imaging
- 3D Shape Modeling and Analysis
Renji Hospital
2013-2024
Shanghai Jiao Tong University
2008-2024
Southwest University of Science and Technology
2022
Sichuan Mianyang 404 Hospital
2020
First Affiliated Hospital of Anhui Medical University
2016
Anhui Medical University
2016
Zoucheng People's Hospital
2016
Beijing Municipal Health Bureau
2016
Bridge University
2016
Taiyuan University of Technology
2011
Background Internet addiction disorder (IAD) is currently becoming a serious mental health issue around the globe. Previous studies regarding IAD were mainly focused on associated psychological examinations. However, there are few brain structure and function about IAD. In this study, we used diffusion tensor imaging (DTI) to investigate white matter integrity in adolescents with Methodology/Principal Findings Seventeen subjects sixteen healthy controls without participated study. Whole...
Quantitative susceptibility mapping (QSM) is a novel MRI technique for the measurement of tissue magnetic in three dimensions. Although numerous algorithms have been developed to solve this ill-posed inverse problem, estimation maps with wide range values still problematic. In cases such as large veins, contrast agent uptake and intracranial hemorrhages, extreme focal areas cause severe streaking artifacts. To enable reduction these artifacts, whilst preserving subtle contrast, two-level QSM...
Purpose To quantitatively assess the value of dual-energy CT (DECT) in differentiating malignancy and benignity solitary pulmonary nodules. Materials Methods Sixty-three patients with nodules detected by plain scan underwent contrast enhanced scans arterial phase (AP) venous (VP) spectral imaging mode for tumor type differentiation. The Gemstone Spectral Imaging (GSI) viewer was used image display data analysis. Region interest placed on relatively homogeneous area nodule to measure iodine...
The aim of this study was to evaluate the role diffusion kurtosis imaging (DKI) in characterization clear cell renal carcinoma (ccRCC) and correlate DKI parameters with tumor cellularity. Fifty-nine patients pathologically diagnosed ccRCCs were evaluated by on a 3-T scanner. Regions interest drawn maps mean coefficient (MD) (MK). All histologically graded according Fuhrman classification system. Tumor cellularity measured nuclear-to-cytoplasm (N/C) ratio number nuclei (NTCN). classified as...
The prognostic value of left ventricular segmental strain (SS) in ST-elevation myocardial infarction (STEMI) remains unclear.
Background: To investigate the value of dual energy computed tomography (DECT) parameters (including iodine concentration and monochromatic CT numbers) for predicting pure ground-glass nodules (pGGNs) invasive adenocarcinoma (IA). Methods: A total 55 resected pGGNs evaluated with both unenhanced thin-section (TSCT) enhanced DECT scans were included. Correlations between histopathology [adenocarcinoma in situ (AIS), minimally IA (MIA), IA] scan characteristics examined. clinicodemographic...
Abstract Gastric cancer is one of the main diseases leading to cancer-related death. The recently introduced dual-energy spectral CT (DEsCT), allows obtain many quantitative measurements from iodine-based material decomposition (MD) images, which contribute improve accuracy staging GC comparing multidetector spiral CT. And Ki-67 a well-recognized nuclear antigen-specific biomarker reflecting cellular proliferation for estimating growth fractions various tumor types. In present study we...
Objective: To compare various models of diffusion-weighted imaging including monoexponential apparent diffusion coefficient (ADC), biexponential (fast [D f ], slow s and fraction fast diffusion), stretched-exponential (distributed anomalous exponent term [α]), kurtosis (mean diffusivity mean [MK]) in the differentiation renal solid masses.Materials Methods: A total 81 patients (56 men 25 women; age, 57 years; age range, 30-69 years) with 18 benign 63 malignant lesions were imaged using 3T...
Treatment for chronic male genital lymphedema (GL) is limited. No standard treatment or validated instrument to assess GL available. The aim of this study was explore whether magnetic resonance lymphography (MRL) could be used GL, select proper patients, and monitor postoperative progress. This a retrospective analysis prospectively acquired cohort men with presenting MRL over 7-year period. Thirty-six 47 eligible were included. All offered preoperative assigned morphology function...
The present work aimed to investigate the clinical application of using quantitative parameters generated in unenhanced phase (UP) and venous (VP) dual-energy spectral CT for differentiating invasiveness pure ground-glass nodule (pGGN).Sixty-two patients with 66 pGGNs who underwent preoperative UP VP were evaluated retrospectively. Nodules divided into three groups based on pathology: adenocarcinoma situ (AIS, n=19), minimally invasive (MIA, n=22) (both preinvasive lesion group) (IA, n=25)....
In this paper, we present a novel approach for real-time simulation of deformable soft tissue. When using Mass-Spring or Finite Element Method to simulate the global deformation tissue dynamically, we'll meet difficulty that size 3D problem (the number elements in FEM mesh) is much larger than 2D issue. So put forward hybrid model solve problems. This consists centerline and surface reconstruction mechanism based on simplified medial-representation algorithm nonlinear mass-spring model, also...
Objective The aim of this study was to find optimal monochromatic spectral computed tomography (CT) level improve image quality lung cancer. Methods Fifty patients with cancers were scanned by CT; images at 50, 60, 70 and 80 keV energy levels generated; objective analysis including noise, lesion-to-lung contrast-to-noise ratio, CT number difference between central peripheral regions tumor (dCT value) measured compared. Subjective assessment about the overall inhomogeneity enhancement Results...
Abstract Background Collision detection and response are two crucial aspects in a virtual surgery simulator, which significantly affect the output real‐time simulation realism. Methods We propose collision algorithm employs novel hierarchical spatial hashing to effectively achieve appropriate parameters. Thereafter we present hybrid scheme takes advantages of three traditional methods introduces ‘force filter’ obtain more realistic feedback force. Results The average performance our proposed...
Abstract Background Magnetic resonance imaging is a noninvasive method of evaluating embryonic development. Diffusion tensor (DTI), based on the directional diffusivity water molecules, an established tissue structure. Yet motion degrades in vivo acquisition long-duration DTI. We used dual-cooling technique to avoid artifact and aimed investigate whether DTI can be monitor chick skeletal muscle development ovo, correlation between quantitative parameters fractional anisotropy (FA) fiber...
Abstract Purpose: To detect affected lung lobes and conduct severity grading of coronavirus disease 2019 (COVID-19) pneumonia on chest CT images using an artificial intelligence (AI) technique. Materials Methods: We used a deep learning model which was previously developed trained to extract visual features from exams for the detection COVID-19 pneumonia. In this retrospective study, we tested with cases in our institution. The numbers values were compared AI method manual via paired...
Intravoxel incoherent motion has received extensive attention in brain studies for its potential as a non-invasive magnetic resonance perfusion method. However, on intravoxel imaging and crossed cerebellar diaschisis detection are relatively scarce. The aim of our study was to evaluate the feasibility using diagnosis subacute ischemic stroke patients by comparing results from imaging, single-photon emission computed tomography, arterial spin-labeling methods. In total, 39 with who underwent...