A5055625757- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Medical Image Segmentation Techniques
- Bone and Joint Diseases
- Radiomics and Machine Learning in Medical Imaging
- Fetal and Pediatric Neurological Disorders
- Brain Tumor Detection and Classification
- Multiple Sclerosis Research Studies
- Medical Imaging and Analysis
- Retinal Imaging and Analysis
- Functional Brain Connectivity Studies
- Advanced Neural Network Applications
- Cell Image Analysis Techniques
- Advanced Image and Video Retrieval Techniques
- Cardiac Imaging and Diagnostics
- Cerebrovascular and Carotid Artery Diseases
- Artificial Intelligence in Healthcare
- Distributed and Parallel Computing Systems
- COVID-19 diagnosis using AI
- Advanced X-ray and CT Imaging
- Antenna Design and Analysis
- Scientific Computing and Data Management
- Peripheral Neuropathies and Disorders
- 3D Shape Modeling and Analysis
National Institutes of Health
2020-2024
National Institute of Neurological Disorders and Stroke
2020-2024
Meher Hospitals
2024
Vanderbilt University
2015-2019
Resonance Research (United States)
2018
Mayo Clinic
2018
University of California System
2016
University of California, San Francisco
2016
Background: Dramatic improvements in visualization of cortical (especially subpial) multiple sclerosis (MS) lesions allow assessment impact on clinical course. Objective: Characterize by 7 tesla (T) T 2 * -/T 1 -weighted magnetic resonance imaging (MRI); determine relationship with other MS pathology and contribution to disability. Methods: Sixty-four adults (45 relapsing–remitting/19 progressive) underwent 3 brain/spine MRI, brain testing. Results: Cortical were found 94% (progressive:...
The findings of splenomegaly, abnormal enlargement the spleen, is a non-invasive clinical biomarker for liver and spleen diseases. Automated segmentation methods are essential to efficiently quantify splenomegaly from clinically acquired abdominal magnetic resonance imaging (MRI) scans. However, task challenging due to: 1) large anatomical spatial variations splenomegaly; 2) inter- intra-scan intensity on multi-modal MRI; 3) limited numbers labeled In this paper, we propose Splenomegaly...
Abstract Cortical lesions are common in multiple sclerosis and associated with disability progressive disease. We asked whether cortical continue to form people stable white matter the association of worsening relates pre-existing or new lesions. Fifty adults no year prior enrolment (33 relapsing-remitting 17 progressive) a comparison group nine who had formed at least one lesion (active relapsing-remitting) were evaluated annually 7 tesla (T) brain MRI 3T spine for 2 years, clinical...
Automated whole brain segmentation from magnetic resonance images is of great interest for the development clinically relevant volumetric markers various neurological diseases. Although deep learning methods have demonstrated remarkable potential in this area, they may perform poorly nonoptimal conditions, such as limited training data availability. Manual an incredibly tedious process, so minimizing set size required algorithms be wide interest. The purpose study was to compare performance...
Coronary artery calcium (CAC) is biomarker of advanced subclinical coronary disease and predicts myocardial infarction death prior to age 60 years. The slice-wise manual delineation has been regarded as the gold standard detection. However, efforts are time resource consuming even impracticable be applied on large-scale cohorts. In this paper, we propose attention identical dual network (AID-Net) perform CAC detection using scan-rescan longitudinal non-contrast CT scans with weakly...
Diffusion MRI (dMRI) has become an invaluable tool to assess the microstructural organization of brain tissue. Depending on specific acquisition settings, dMRI signal encodes properties underlying diffusion process. In last two decades, several representations have been proposed fit and decode such properties. Most methods, however, are tested developed a limited amount data, their applicability other schemes remains unknown. With this work, we aimed shed light generalizability existing...
In this paper, we present the automatic labeling framework for sulci in human lateral prefrontal cortex (PFC). We adapt an existing spherical U -Net architecture with our recent surface data augmentation technique to improve sulcal accuracy a developmental cohort. Specifically, consists of following key components: (1) augmented geometrical features being generated during cortical registration, (2) efficiently fit features, and (3) post-refinement by optimizing spatial coherence via graph...
Modern magnetic resonance imaging (MRI) brain atlases are high quality 3-D volumes with specific structures labeled in the volume. Atlases essential providing a common space for interpretation of results across studies, anatomical education, and quantitative image-based navigation. Extensive work has been devoted to atlas construction humans, macaque, several non-primate species (e.g., rat). One notable gap literature is squirrel monkey - which primary published date from 1960's. The used...
Abstract Background and Purpose Cortical demyelinated lesions are prevalent in multiple sclerosis (MS), associated with disability, have recently been incorporated into MS diagnostic criteria. Presently, advanced ultrahigh‐field MRIs—not routinely available clinical practice—are the most sensitive methods for detection of cortical lesions. Approaches utilizing MRI sequences obtainable routine practice remain an unmet need. We plan to assess sensitivity ratio T 1 ‐weighted 2 (T /T ) signal...
Abstract Diffusion MRI fiber tractography is widely used to probe the structural connectivity of thebrain, with a range applications in both clinical and basic neuroscience. Despite widespread use, has well-known pitfalls that limits anatomical accuracy this technique. Numerous modern methods have been developed address these shortcomings through advances acquisition, modeling, computation. To test whether improve accuracy, we organized ISBI 2018 3D Validation Tractography Experimental...
Cortical lesions (CL) are common in multiple sclerosis (MS) and associate with disability progressive disease. We asked whether CL continue to form people stable white matter (WML) the association of worsening relates pre-existing or new CL.