A5019472772- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Fetal and Pediatric Neurological Disorders
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Valve Diseases and Treatments
- Medical Image Segmentation Techniques
- Amyotrophic Lateral Sclerosis Research
- Artificial Intelligence in Healthcare and Education
- Single-cell and spatial transcriptomics
- Radiology practices and education
- Congenital Heart Disease Studies
- Traumatic Brain Injury Research
- Cell Image Analysis Techniques
- Traumatic Brain Injury and Neurovascular Disturbances
- Pancreatic and Hepatic Oncology Research
- Aortic Disease and Treatment Approaches
- Advanced Fluorescence Microscopy Techniques
- Advanced Statistical Methods and Models
- Machine Learning in Healthcare
- Dementia and Cognitive Impairment Research
- Human-Animal Interaction Studies
- Alzheimer's disease research and treatments
- Comparative Animal Anatomy Studies
University of Pennsylvania
2014-2025
Penn Center for AIDS Research
2007-2024
California University of Pennsylvania
2013-2024
Bellingham Technical College
2018
Nemocnice Znojmo
2017
Philadelphia University
2007
Cleveland Clinic
1999-2000
Eunice Kennedy Shriver National Institute of Child Health and Human Development
2000
Cleveland Foundation
2000
Fiber tract trajectories in coherently organized brain white matter pathways were computed from vivo diffusion tensor magnetic resonance imaging (DT-MRI) data. First, a continuous field is constructed this discrete, noisy, measured DT-MRI Then Frenet equation, describing the evolution of fiber tract, was solved. This approach validated using synthesized, noisy Corpus callosum and pyramidal found to be consistent with known anatomy. The method's reliability, however, degrades where...
Abstract Childhood socioeconomic status ( SES ) predicts executive function performance and measures of prefrontal cortical function, but little is known about its anatomical correlates. Structural MRI demographic data from a sample 283 healthy children the NIH Study Normal Brain Development were used to investigate relationship between thickness. Specifically, we assessed association two principal childhood , family income parental education, gray matter thickness in specific subregions...
Abstract The Advanced Normalizations Tools ecosystem, known as ANTsX, consists of multiple open-source software libraries which house top-performing algorithms used worldwide by scientific and research communities for processing analyzing biological medical imaging data. base library, ANTs, is built upon, contributes to, the NIH-sponsored Insight Toolkit. Founded in 2008 with highly regarded Symmetric Normalization image registration framework, ANTs library has since grown to include...
The present study examined the relationship between childhood socioeconomic status (SES), maltreatment, and volumes of hippocampus amygdala ages 25 36 years. Previous work has linked both low SES maltreatment with reduced hippocampal volume in childhood, an effect attributed to stress. In 46 adult subjects, only not SES, predicted regression analyses, greater associated lower volume. Neither factor was related When current recent interpersonal stressful events were also considered, smaller...
Abstract 3D brain atlases are key resources to understand the brain’s spatial organization and promote interoperability across different studies. However, unlike adult mouse brain, lack of developing reference hinders advancements in understanding development. Here, we present a developmental common coordinate framework (DevCCF) spanning embryonic day (E)11.5, E13.5, E15.5, E18.5, postnatal (P)4, P14, P56, featuring undistorted morphologically averaged atlas templates created from magnetic...
There is a long history and growing interest in the canine as subject of study neuroscience research translational neurology. In last few years, anatomical functional magnetic resonance imaging (MRI) studies awake anesthetized dogs have been reported. Such efforts can be enhanced by population atlas brain anatomy to implement group analyses. Here we present derived diffeomorphic average fifteen mesaticephalic dogs. The includes: 1) A template from in-vivo, T1-weighted at 1 mm isotropic...
To evaluate the longitudinal repeatability and accuracy of cerebral blood flow (CBF) measurements by using pseudo-continuous arterial spin-labeled (pCASL) perfusion magnetic resonance (MR) imaging in typically developing children.Institutional review board approval with HIPAA compliance informed consent were obtained. Twenty-two children aged 7-17 years underwent repeated pCASL examinations 2-4 weeks apart a 3-T MR imager, along vivo T1 transit time measurements. Phase-contrast (PC) was...
BACKGROUNDTwo coding alleles within the APOL1 gene, G1 and G2, found almost exclusively in individuals genetically similar to West African populations, contribute substantially pathogenesis of chronic kidney disease (CKD). The APOL gene cluster on chromosome 22 contains a total 6 genes that have arisen as result duplication.METHODSUsing genome-first approach Penn Medicine BioBank, we identified 62 protein-altering variants with minor allele frequency >0.1% population participants reference...
Brain atrophy is a relevant surrogate marker of the disease process in multiple sclerosis (MS) because it represents net effect various pathological processes leading to brain tissue loss. There are approaches quantifying central nervous system MS. We have focused on normalized measure whole atrophy, parenchymal fraction (BPF). BPF defined as volume, divided by volume within surface brain. applied this method an MRI data set generated during phase III clinical trial interferon β-1a (AVONEX)....
Abstract Magnetic resonance imaging (MRI) captures the dynamics of brain development with multiple modalities that quantify both structure and function. These measurements may yield valuable insights into neural patterns mark healthy maturation or identify early risk for psychiatric disorder. The Pediatric Template Brain Perfusion (PTBP) is a free public neuroimaging resource will help accelerate understanding childhood as seen through lens modality in relation to cognitive environmental...
Longitudinal studies of development and disease in the human brain have motivated acquisition large neuroimaging data sets concomitant robust methodological statistical tools for quantifying neurostructural changes. Longitudinal-specific strategies processing potentially significant benefits including more consistent estimates intra-subject measurements while retaining predictive power. Using first phase Alzheimer's Disease Neuroimaging Initiative (ADNI-1) data, comprising over 600 subjects...
3D standard reference brains serve as key resources to understand the spatial organization of brain and promote interoperability across different studies. However, unlike adult mouse brain, lack atlases for developing has hindered advancement our understanding development. Here, we present a multimodal developmental common coordinate framework (DevCCF) spanning embryonic day (E) 11.5, E13.5, E15.5, E18.5, postnatal (P) 4, P14, P56 with anatomical segmentations defined by ontology. At each...
Abstract Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. demands the ability seamlessly incorporate AI-derived measurements reports. Common data elements (CDEs) define standardized, interoperable units information. This article describes application CDEs as a standardized framework embed results The authors defined set for volume attenuation liver spleen. An AI system...
Background: Aortic structure impacts cardiovascular health through multiple mechanisms. structural degeneration occurs with aging, increasing left ventricular afterload and promoting increased arterial pulsatility target organ damage. Despite the impact of aortic on health, three-dimensional (3D) geometry has not been comprehensively characterized in large populations. Methods: We segmented complete thoracic aorta using a deep learning architecture used morphological image operations to...
Deterioration of right ventricular (RV) function in repaired tetralogy Fallot (rToF) is poorly understood. Cardiovascular magnetic resonance (CMR) used for monitoring, but its analysis user-dependent and time-consuming. We sought to automate the CMR using machine learning, identify imaging traits associated with adverse RV remodeling natural history rToF. A longitudinal cohort rToF patients underwent at Children's Hospital Philadelphia. The nnU-Net method was train a learning model segment...
<title>Abstract</title> Large-scale, international collaborative efforts by members of the BRAIN Initiative Cell Census Network (BICCN) consortium are aggregating most comprehensive reference database to date for diverse cell type profiling mouse brain, which encompasses over 40 different multi-modal techniques from more than 30 research groups. One central challenge this integrative effort has been need map these unique datasets into common spaces such that spatial, structural, and...
Diffusion tensor magnetic resonance imaging (DTI) provides data concerning water diffusion in the spinal cord, from which white matter tracts may be inferred, and connectivity between cord segments determined. We evaluated this potential application by cords normal adult rats that received cervical lateral funiculotomies, disrupting rubrospinal tract (RST). Vitrogen fibroblasts were transplanted into surgical lesion at time of injury order to fill cavity. At 10 weeks, animals sacrificed;...
Traumatic brain injury (TBI) is a leading cause of morbidity worldwide, for which biomarkers are needed to better understand the underlying pathophysiology. Microvascular represents subset pathological mechanisms contributing cognitive dysfunction after TBI, may also impair subsequent neural repair thereby inhibiting recovery. Magnetic resonance imaging (MRI)-based measurement cerebral blood flow (CBF) by arterial spin labeling (ASL) provides an appealing means assessing microvascular...
Summary: Purpose: Diffusion‐weighted MR imaging (DWI) is a novel technique to delineate focal areas of cytotoxic edema various etiologies. We hypothesized that DWI may also detect the epileptogenic region and adjacent during ictal early postictal periods in patients with temporal lobe epilepsy (TLE). Methods: studied intractable TLE (n = 9), due hippocampal sclerosis (HS, n 7), left mesial tumor 1), unknown etiology 1). Informed consent was obtained before inclusion study. All single short...
Recent interest in human brain connectivity has led to the application of graph theoretical analysis structural networks, particular white matter inferred from diffusion imaging and fiber tractography. While these methods have been used study a variety patient populations, there less examination reproducibility methods. A number tractography algorithms exist many are known be sensitive user-selected parameters. The derive matrix output may also influence resulting metrics. Here we examine...
Summary: Purpose: Diffusion‐weighted MR imaging (DWI) has been used for the early diagnosis of acute ischemic lesions in humans and animal models focal status epilepticus. We hypothesized that DWI may be a sensitive, noninvasive tool localization epileptogenic area during periictal period. Methods: A study was performed on 35‐year‐old patient epilepticus with repetitive prolonged motor seizures originating from lesion right frontal lobe. results were analyzed visually by calculating apparent...