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Alexandra Badea

Associate Professor in Radiology
Radiology
Box 3302 Duke University Medic, Durham, NC 27710
Center for in Vivo Microscopy, Room 139 Bryan Research Building, Durham, NC 27710

Overview


I have a joint appointment in Radiology and Neurology and my research focuses on neurological conditions like Alzheimer’s disease. I work on imaging and analysis to provide a comprehensive characterization of the brain. MRI is particularly suitable for brain imaging, and diffusion tensor imaging is an important tool for studying brain microstructure, and the connectivity amongst gray matter regions.  

I am interested in image segmentation, morphometry and shape analysis, as well as in integrating information from MRI with genetics, and behavior. Our approaches  target: 1) phenotyping the neuroanatomy using imaging; 2) uncovering the link between structural and functional changes, the genetic bases, and environmental factors. I am interested in generating methods and tools for comprehensive phenotyping.

We use high-performance cluster computing to accelerate our image analysis. We use compressed sensing image reconstruction, and process large image arrays using deformable registration, perform segmentation based on multiple image contrasts including diffusion tensor imaging, as well as voxel, and graph analysis for connectomics.

At BIAC  my efforts focus on developing multivariate biomarkers and identifying vulnerable networks based on genetic risk for Alzheimer's disease.

My enthusiasm comes from the possibility to extend from single to integrative multivariate and network based analyses to obtain a comprehensive picture of normal development and aging, stages of disease, and the effects of treatments.  I am working on multivariate image analysis and predictive modeling approaches to help better understand early biomarkers for human disease indirectly through mouse models, as well as directly in human studies. 

I am dedicated to supporting an increase in female presence in STEM fields, and love working with students. The Bass Connections teams involve undergraduate students in research, providing them the opportunity to do independent research studies and get involved with the community. These students have for example takes classes such as:

BME 394: Projects in Biomedical Engineering (GE)
BME 493: Projects in Biomedical Engineering (GE)
ECE 899: Special Readings in Electrical Engineering
NEUROSCI 493: Research Independent Study 1

Current Appointments & Affiliations


Associate Professor in Radiology · 2021 - Present Radiology, Clinical Science Departments
Associate Professor in Neurology · 2023 - Present Neurology, Behavioral Neurology, Neurology
Associate Professor of Biomedical Engineering · 2024 - Present Biomedical Engineering, Pratt School of Engineering
Member of the Center for Brain Imaging and Analysis · 2018 - Present Duke-UNC Brain Imaging and Analysis Center, Institutes and Centers

In the News


Published November 2, 2021
Female-Led Team Investigates Increased Alzheimer’s Risk in Women

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Recent Publications


Photon-Counting Micro-CT for Bone Morphometry in Murine Models.

Journal Article Tomography (Ann Arbor, Mich.) · November 2025 Background/objectivesThis study evaluates photon-counting CT (PCCT) for the imaging of mouse femurs and investigates how APOE genotype, sex, and humanized nitric oxide synthase (HN) expression influence bone morphology during aging.Methods Full text Cite

Graph neural networks and cortical column modeling for AI-based brain age prediction in Alzheimer’s disease risk

Conference Proceedings of SPIE the International Society for Optical Engineering · September 17, 2025 Alzheimer’s disease (AD) affects over 10% of people above age 65. Current treatments remain largely ineffective, thus early biomarkers are essential for devising preventive interventions, and personalizing these based on risk profiles. Brain age gap (BAG)— ... Full text Cite

Multimodal graph attention networks for predicting brain age and stratifying Alzheimer’s disease risk in clinical populations

Conference Proceedings of SPIE the International Society for Optical Engineering · September 17, 2025 Alzheimer’s Disease (AD) remains a critical public health challenge due to its late clinical onset and lack of effective early interventions. Brain age prediction provides a powerful framework to detect deviations from normative aging and identify individu ... Full text Cite
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Recent Grants


Cardiac photon counting CT and its application in studying interactions between Alzheimer's and heart disease

ResearchCo Investigator · Awarded by National Institute on Aging · 2021 - 2026

Brain networks in mouse models of aging

ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2019 - 2025

Gender and APOE genotype interact to alter immune regulated metabolism in AD

ResearchCo-Principal Investigator · Awarded by National Institutes of Health · 2019 - 2024

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Education, Training & Certifications


University of Patras (Greece) · 2003 Ph.D.