A5025479683- Advanced MRI Techniques and Applications
- Multiple Sclerosis Research Studies
- Cerebral Venous Sinus Thrombosis
- Advanced Neuroimaging Techniques and Applications
- Shoulder Injury and Treatment
- Shoulder and Clavicle Injuries
- Acute Ischemic Stroke Management
- Tracheal and airway disorders
- Systemic Lupus Erythematosus Research
- MRI in cancer diagnosis
- Total Knee Arthroplasty Outcomes
- Diverticular Disease and Complications
- Esophageal Cancer Research and Treatment
- Vascular Malformations Diagnosis and Treatment
- Anorectal Disease Treatments and Outcomes
- Bone and Joint Diseases
- Endometriosis Research and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Glaucoma and retinal disorders
- Machine Learning in Healthcare
- Medical Image Segmentation Techniques
- Intracerebral and Subarachnoid Hemorrhage Research
- Musculoskeletal synovial abnormalities and treatments
- Radiation Dose and Imaging
- Rheumatoid Arthritis Research and Therapies
Magnetic Resonance Innovations (United States)
2014-2024
Northeastern University
2010-2023
The First Affiliated Hospital, Sun Yat-sen University
2017
Sun Yat-sen University
2017
The People's Hospital of Guangxi Zhuang Autonomous Region
2005-2013
Previous studies have detected abnormal serum ferritin levels in patients with depression; however, the results been inconsistent. This study used quantitative susceptibility mapping (QSM) for first time to examine brain iron concentration depressed and evaluated whether it is related severity. We included three groups of age- gender-matched participants: 30 mild-moderate depression (MD), 14 major disorder (MDD) 20 control subjects. All participants underwent MR scans a 3D gradient-echo...
Abstract Aim To reveal whether bone marrow edema ( BME ) may appear with osteitis condensans ilii OCI on sacroiliac joint SIJ magnetic resonance imaging MRI and to evaluate the characteristics of demonstrated . Method Altogether 27 symptomatic female patients both complete clinical records ‐ examination data were enrolled for retrospective analysis. exams retrospectively analyzed by two musculoskeletal radiologists. Patients separated into group non‐ according there was as high signal...
Glaucoma is an acquired optic neuropathy, which can lead to irreversible vision loss. Deep learning(DL), especially convolutional neural networks(CNN), has achieved considerable success in the field of medical image recognition due availability large-scale annotated datasets and CNNs. However, obtaining fully like ImageNet still a challenge. Meanwhile, single-modal approaches remain both unreliable inaccurate diversity glaucoma disease types complexity symptoms. In this paper, new multimodal...
To develop a method that combines fixed-T1, fuzzy c-means (FCM) technique with reference region (RR) model (T1-FCM method) to estimate pharmacokinetic parameters without measuring the arterial input function or baseline T1, T1(0), and demonstrate its feasibility in assessment of treatment response neoadjuvant chemotherapy (NAC) patients breast cancer by using data from dynamic contrast material-enhanced magnetic resonance (MR) imaging.This study was approved human investigation committees...
White matter hyperintensities (WMH) seen on T2WI are a hallmark of multiple sclerosis (MS) as it indicates inflammation associated with the disease. Automatic detection WMH can be valuable in diagnosing and monitoring treatment effectiveness. T2 fluid attenuated inversion recovery (FLAIR) MR images provided good contrast between lesions other tissue; however signal intensity gray tissue was close to FLAIR that may cause more false positives segment result. We developed evaluated tool for...
Background: Efficiently and accurately detecting cerebral microbleeds (CMBs) is crucial for diagnosing dementia, stroke, traumatic brain injury. Manual CMB detection, however, time-consuming error-prone. This study evaluates a novel artificial intelligence (AI) software designed the automated detection of CMBs using susceptibility weighted imaging (SWI).
A new automatic skull stripping method for fluid attenuated inversion recovery (FLAIR) MR images is proposed the quantification of brain volume in multiple sclerosis (MS) patients. The based on use local moment inertia structure tensor and morphological operators. used to determine boundary brain, instead conventional edge detection algorithms. Data from 30 MS patients were processed by Brain Extraction Tool (BET); results which also compared with manual segmentation. It was shown that able...
Flow and structural related studies of the vasculature head neck have indicated that venous outflow may be obstructed in MS patients, with postulation this leads to development or exacerbation disease. The current work presented following is determine if there correlation between abnormal internal jugular vein (IJV) flow average cerebral blood patients. 140 117 known type, 26 healthy controls were imaged by 3-T MRI. 3D contrast-enhanced MR angiography was assessed for abnormalities IJV,...
Purpose : We investigate the diagnostic value and therapeutic effect of arthroscopy on knee synovial fold syndrome. Methods Thirty patients (35 knees) who has subgingival syndrome were treated with medial temporal synovectomy. All these in this group epidural anesthesia underwent arthroscopic surgery. MRI was used initially to diagnosis orthopedic conditions before surgical intervention. At second observation, it can be seen that inner wrinkle is hard a white cord-like shape. Generally,...