- Advanced MRI Techniques and Applications
- Coronary Interventions and Diagnostics
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Medical Image Segmentation Techniques
- Lung Cancer Diagnosis and Treatment
- Optical Coherence Tomography Applications
- Cardiac Arrhythmias and Treatments
- Cardiac Imaging and Diagnostics
- Neuroblastoma Research and Treatments
- Voice and Speech Disorders
- Neurofibromatosis and Schwannoma Cases
- Advanced Radiotherapy Techniques
- Cardiovascular Health and Disease Prevention
- Lung Cancer Treatments and Mutations
- AI in cancer detection
- Elasticity and Material Modeling
- Peripheral Artery Disease Management
- Cardiac and Coronary Surgery Techniques
- Cerebrovascular and Carotid Artery Diseases
- Fetal and Pediatric Neurological Disorders
- Cell Image Analysis Techniques
- Integrated Circuits and Semiconductor Failure Analysis
- Health, Environment, Cognitive Aging
Jiangsu University of Science and Technology
2025
Nanchang University
2016-2024
Ganzhou People's Hospital
2016-2024
Beihang University
2020
St. Jude Medical Center
2015
Photon Imaging (United States)
2010-2012
Princeton University
2008-2010
Siemens (United States)
2005-2009
Siemens (Germany)
2007-2008
Institut national de recherche en informatique et en automatique
2007
We propose a unified computational framework to build statistical atlas of the cardiac fiber architecture from diffusion tensor magnetic resonance images (DT-MRIs). apply this small database nine ex vivo canine hearts. An average and measure its variability are computed using most recent advances in statistics. This analysis confirms already established good stability orientations higher laminar sheet within given species. The comparison between standard human DT-MRI shows better than their...
Coronary calcified plaque (CP) is both an important marker of atherosclerosis and major determinant the success coronary stenting. Intracoronary optical coherence tomography (OCT) with high spatial resolution can provide detailed volumetric characterization CP. We present a semiautomatic method for segmentation quantification CP in OCT images. Following lumen, guide wire, arterial wall, was localized by edge detection traced using combined intensity gradient-based level-set model. From...
We propose a C-GAN-based model for generating plastic spectroscopy data, enhancing classification accuracy by 3%+. Preprocessing improves accuracy, and deep learning excels on large datasets, while SVM RF are reliable smaller datasets.
A procedure for estimating the joint probability density function (pdf) of T 1 , 2 and proton spin (P D ) gray matter (GM), white (WM), cerebrospinal fluid (CSF) in brain is presented. The pdf's have numerous applications, including study tissue parameter variability pathology across populations. requires a multispectral, echo magnetic resonance imaging (MRI) data set brain. It consists five automated steps: (i) preprocess to remove extracranial using sequence image processing operators;...
Integration of 3D PET with Voltage Map for VT Ablation. Background: Image integration has the potential to display three-dimensional (3D) scar anatomy and facilitate substrate characterization ventricular tachycardia (VT) ablation. However, current generation clinical mapping systems cannot left ventricle (LV) embedded reconstructions or allow border zone high-resolution anatomic features. Objective: This study reports first experience a system allowing an integrated LV detailed 2D/3D...
Lung cancer is one of the malignant tumors with highest fatality rate and nearest to our lives. It poses a great threat human health it mainly occurs in smokers. In country, acceleration industrialization, environmental pollution, population aging, burden lung increasing day by day. diagnosis cancer, Computed Tomography (CT) images are fairly common visualization tool. CT visualize all tissues based on absorption X-rays. The diseased parts collectively referred as pulmonary nodules, shape...
To assist cardiologists investigating neointimal tissue growth on stents during follow-up with optical coherence tomography (OCT), we developed an automatic algorithm to locate deeply buried stent struts and quantify the restenosis burden. The technique is based improved steerable filter for computing local ridge strength orientation. It also uses ellipsoid fitting continuity criteria obtain globally optimal localization. burden calculations were compared manual assessment of OCT coronary...
In this paper we propose and validate a PCA-based respiratory motion model for compensation during image-guided cardiac interventions. preparatory training phase, preoperative 3-D segmentation of the coronary arteries is automatically registered with gated biplane cineangiogram, used to build model. This subsequently as prior within intraoperative registration process restrict search space. Our hypothesis that use model-constrained increases robustness accuracy, especially weak data...
Registration of atrial high-resolution CT and MR images with a cardiac mapping system can provide real-time electrical activation information, catheter tracking, recording lesion position. The navigation comprises miniature passive magnetic field sensor, an external ultralow emitter (location pad), processing unit (CARTO, BiosenseWebster). We developed progressive methodology for both interactively automatically registering 3D (MR or CT) the corresponding electrophysiological (EP) points...
Rehabilitation robots can provide effectively motion training for neural impaired patients. When developing rehabilitation exoskeletons, the design of physical connections between device and human limb to which it is connected a crucial problem. A seven-degrees-of-freedom cable-driven upper exoskeleton designed therapy, preserves advantages with both parallel mechanism. In this paper, in order reduce kinematic uncertainties caused by instabilities when wearing exoskeleton, novel...
Concurrent lung cancer and coronary artery disease requiring treatment with percutaneous intervention or bypass grafting is not rare. An individualized perioperative anticoagulation regimen minimal surgical trauma will benefit the patient's postoperative recovery. We successfully treated a 68-year-old female patient lesion in left anterior descending metastatic right carcinoma by simultaneous minimally invasive direct via small thoracotomy thoracoscopic wedge resection of lesion. She...