Faculty

Contact Information
  • jelle.veraart@nyulangone.org
  • 212-263-2700

Jelle Veraart, PhD

Assistant Professor
Diffusion magnetic resonance imaging is an impactful neuroimaging technique to study the structural connections and tissue properties of the axonal pathways of the human brain. My research is focused on the development, validation, benchmarking, and improving the accessibility of neuroimaging analysis methods and workflows to break the barriers to reproducible research for all. Moreover, building upon technical developments in artificial intelligence, image reconstruction and analysis, I aim to transform ultra-low field MRI scanners into low-cost, mobile and accessible neuroimaging devices for the study of health disparities related to aging and to improve the accessibility of radiological practices.

Research Projects

Advanced Diffusion MRI in Renal Cancer: Oncologic Control and Renal Functional Reserve

This project investigates REFMAP, an advanced diffusion MRI approach combining IVIM and DTI, to noninvasively diagnose kidney tumors, estimate glomerular filtration rate, and predict renal function outcomes following surgery.

DIFFUSION MRI   KIDNEYS

Cellular Viscosity as a Marker for Alzheimer’s Disease Pathology: A Combined Multiparametric MR Spectroscopy and PET Study

This project investigates intracellular viscosity as a potential early marker of neurodegeneration and Alzheimer’s disease by combining PET imaging, blood-based biomarkers, and an innovative technique called magnetic resonance spectroscopic fingerprinting (MRSF), using data from a well-characterized cohort at NYU’s Alzheimer’s Disease Research Center.

AGING   BRAIN

Brain Microstructure Imaging

This project develops and validates biophysical models of diffusion and nuclear magnetic resonance relaxation to quantify tissue microstructure in the brain—such as axonal integrity, inflammation, fiber orientation dispersion, axonal diameters, axonal beading, undulations, and water exchange—using diffusion methods and a leading-edge Siemens Connectom.X gradient system.

BRAIN   DIFFUSION MRI

Improving the Efficacy of Ultra-Low-Field MRI Using AI

This project aims to develop AI methods to improve the image quality of ultra-low-field MRI to enhance the mobility, accessibility, and efficiency of MRI in clinical radiology and neuroscientific research.

AI   BRAIN

Researchers at the Center for Biomedical Imaging at NYU Langone Health develop transformative imaging technologies to advance basic science and address unsolved clinical problems.

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