A5021604198- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Fetal and Pediatric Neurological Disorders
- Atomic and Subatomic Physics Research
- Functional Brain Connectivity Studies
- Lanthanide and Transition Metal Complexes
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Bone and Joint Diseases
- NMR spectroscopy and applications
- Prostate Cancer Diagnosis and Treatment
- Traumatic Brain Injury Research
- Advanced Radiotherapy Techniques
- Sports injuries and prevention
- Neural dynamics and brain function
- Cardiac Imaging and Diagnostics
- Advanced X-ray and CT Imaging
- Nuclear Physics and Applications
- Cell Image Analysis Techniques
- Inflammatory Myopathies and Dermatomyositis
- Lower Extremity Biomechanics and Pathologies
- Traumatic Brain Injury and Neurovascular Disturbances
- Machine Learning in Materials Science
- Circadian rhythm and melatonin
New York University
2015-2025
NYU Langone Health
2013-2024
Advanced Imaging Research (United States)
2015-2023
Hinge Health
2023
New Mexico VA Health Care System
2019
University of New Mexico
2019
Ghent University
2008-2011
Ghent University Hospital
2008-2011
To compare fitting methods and sampling strategies, including the implementation of an optimized b-value selection for improved estimation intravoxel incoherent motion (IVIM) parameters in breast cancer.Fourteen patients (age, 48.4 ± 14.27 years) with cancerous lesions underwent 3 Tesla MRI examination a HIPAA-compliant, institutional review board approved diffusion MR study. IVIM biomarkers were calculated using "free" versus "segmented" conventional or (repetitions key b-values) selection....
A mechanistic understanding of the pathology psychiatric disorders has been hampered by extensive heterogeneity in biology, symptoms, and behavior within diagnostic categories that are defined subjectively. We investigated whether leveraging individual differences information-processing impairments patients with post-traumatic stress disorder (PTSD) could reveal phenotypes disorder. found a subgroup PTSD from two independent cohorts displayed both aberrant functional connectivity ventral...
Estimating intra- and extra-axonal microstructure parameters, such as volume fractions diffusivities, has been one of the major efforts in brain imaging with MRI. The Standard Model (SM) diffusion white matter unified various modeling approaches based on impermeable narrow cylinders embedded locally anisotropic space. However, estimating SM parameters from a set conventional MRI (dMRI) measurements is ill-conditioned. Multidimensional dMRI helps resolve estimation degeneracies, but there...
Importance Catastrophic facial injury with globe loss remains a formidable clinical problem no previous reports of reconstruction by whole eye or combined and transplant. Objective To develop microsurgical strategy for transplant describe the findings during first year following Design, Setting, Participant A 46-year-old man who sustained high-voltage electrical catastrophic tissue to his face left underwent using personalized surgical devices novel at specialized center vascularized...
The purpose of this work was to carry out diffusion tensor imaging (DTI) at multiple times Td in skeletal muscle normal subjects and chronic exertional compartment syndrome (CECS) patients analyze the data with random permeable barrier model (RPBM) for biophysical specificity. Using an institutional review board approved HIPAA-compliant protocol, seven clinical suspicion CECS eight healthy volunteers underwent DTI calf a Siemens MAGNETOM Verio 3 T scanner rest after treadmill exertion four...
Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While technical advances spearheaded Human Connectome Project (HCP) led to significant improvements dMRI data quality, it remains unclear how these should be analyzed maximize accuracy. Over a period two years, we engaged community IronTract Challenge, which aims answer this question leveraging unique dataset. Macaque brains that both tracer injections and ex...
Abstract Magnetic resonance imaging (MRI) has experienced remarkable advancements in the integration of artificial intelligence (AI) for image acquisition and reconstruction. The availability raw k-space data is crucial training AI models such tasks, but public MRI datasets are mostly restricted to DICOM images only. To address this limitation, fastMRI initiative released brain knee datasets, which have since seen vigorous use. In May 2023, was expanded include biparametric (T2-...
The neural mechanisms underlying conscious recognition remain unclear, particularly the roles played by prefrontal cortex, deactivated brain areas and subcortical regions. We investigated activity during object using 7 Tesla fMRI while human participants viewed images presented at liminal contrasts. Here, we show both recognized unrecognized recruit widely distributed cortical regions; however, elicit enhanced activation of visual, frontoparietal, networks stronger deactivation default-mode...
The clinical translation of diffusion magnetic resonance imaging (dMRI)-derived quantitative contrasts hinges on robust reproducibility, minimizing both same-scanner and cross-scanner variability. As multi-site data sets, including multi-shell dMRI, expand in scope, enhancing reproducibility across variable MRI systems protocols becomes crucial. This study evaluates the kurtosis (DKI) metrics (beyond conventional tensor (DTI)), at voxel region-of-interest (ROI) levels magnitude...
Recently, novel radiochromic leucodye micelle hydrogel dosimeters were introduced in the literature. In these studies, gel measured electron depth dose profiles compared with ion chamber data, from which it was concluded that leucocrystal violet-type independent of rate. Similar conclusions drawn for leucomalachite green-type dosimeters, only after pre-irradiating samples to a homogeneous radiation dose. However, our extensive study radio-physical properties violet- and significant rate...
Purpose To evaluate the performance of diffusion tensor imaging (DTI) in evaluation chronic exertional compartment syndrome (CECS) as compared to T 2 ‐weighted (T2w) imaging. Materials and Methods Using an Institutional Review Board (IRB)‐approved, Health Insurance Portability Accountability Act (HIPAA)‐compliant protocol, spectral adiabatic inversion recovery (SPAIR) T2w stimulated echo DTI were applied eight healthy volunteers 14 suspected CECS patients before after exertion. Longitudinal...
Radial spin‐echo diffusion imaging allows motion‐robust of tissues with very low T 2 values like articular cartilage high spatial resolution and signal‐to‐noise ratio (SNR). However, in vivo measurements are challenging, due to the significantly slower data acquisition speed sequences less efficient k ‐space coverage radial sampling, which raises demand for accelerated protocols by means undersampling. This work introduces a new reconstruction approach undersampled diffusion‐tensor (DTI). A...
Abstract Introduction Connectome analysis of the human brain's structural and functional architecture provides a unique opportunity to understand organization architecture. In previous studies, connectome fingerprinting using brain connectivity profiles as an individualized trait was able predict individual's neurocognitive performance from Human Project (HCP) datasets. Materials Methods present study, we extend (FC) (SC), identifying multiple relationships between behavioral traits...
The pathological cascade of tissue damage in mild traumatic brain injury is set forth by a perturbation ionic homeostasis. However, whether this class can be detected vivo and serve as surrogate marker clinical outcome unknown. We employ sodium MRI to test the hypotheses that regional global total concentrations: (i) are higher patients than controls (ii) correlate with presentation neuropsychological function. Given novelty imaging injury, effect sizes from (i), correlation types strength...
Purpose To assess the reliability of measuring diffusivity, diffusional kurtosis, and cellular‐interstitial water exchange time with long diffusion times (100–800 ms) using stimulated‐echo DWI. Methods Time‐dependent MRI was tested on two well‐established phantoms in 5 patients head neck cancer. Measurements were conducted an in‐house diffusion‐weighted STEAM‐EPI pulse sequence multiple at a fixed TE three scanners. We used weighted linear least‐squares fit method to estimate time‐dependent...
Estimating structural connectivity from diffusion-weighted magnetic resonance imaging is a challenging task, partly due to the presence of false-positive connections and misestimation connection weights. Building on previous efforts, MICCAI-CDMRI Diffusion-Simulated Connectivity (DiSCo) challenge was carried out evaluate state-of-the-art methods using novel large-scale numerical phantoms. The diffusion signal for phantoms obtained Monte Carlo simulations. results suggest that selected by 14...