Biophysics Group

NYU MRI Biophysics Group

Bridging the micro-macro gap with diffusion MRI

WHAT WE DO

Advancing MRI Imaging

We develop novel imaging markers based on advanced yet clinically usable MRI methods and biophysical modeling, as well as their validation and traslation into clinical applications. We are part of the Center of Biomedical Imaging, Department of Radiology at the New York University Grossman School of Medicine.

WHO WE ARE

A Team of Dedicated Scientists and Researchers

Meet All Members

OUR WORK

Latest Publications

Chen J, Chung S, Li T, Fieremans E, Novikov DS, Wang Y and Lui YW. Identifying relevant diffusion MRI microstructure biomarkers relating to exposure to repeated head impacts in contact sport athletes. (2023) Neuroradiol J. 19714009231177396 Pubmed Neuroradiol J

Lemberskiy G, Chandarana H, Bruno M, Ginocchio LA, Huang C, Tong A, Keerthivasan MB, Fieremans E and Novikov DS. Feasibility of Accelerated Prostate Diffusion-Weighted Imaging on 0.55 T MRI Enabled With Random Matrix Theory Denoising. (2023) Invest Radiol. Pubmed Invest Radiol

Lee HH, Tian Q, Sheft M, Coronado-Leija R, Ramos-Llorden G, Abdollahzadeh A, Fieremans E, Novikov DS and Huang SY. The influence of axonal beading and undulation on axonal diameter mapping. (2023) bioRxiv. Pubmed bioRxiv PMC Article

Resources

Our group is committed on contributing developed software to the scientific community by making it freely available on Github, and the open source MRTRIX.

SOFTWARE

ARTIFACT CORRECTION

The correction of the different types of artifacts (Gibbs ringing, EPI distortion, eddy current distortion, motion, etc) as well as noise is necessary for an accurate, precise and robust estimation of diffusion model parameters.

DESIGNER (Diffusion parameter EStImation with Gibbs and NoisE Removal), a postprocessing pipeline for diffusion MRI images
Denoising using Marchenko-Pastur Principal Component Analysis (MP-PCA), available on mrtrix.org (function _dwidenoise_) or as matlab code
Outliers detection, available on visielab.uantwerpen.be/irlls

DIFFUSION PARAMETER ESTIMATION

DTI/DKI processing, available on github.com/NYU-DiffusionMRI/Diffusion-Kurtosis-Imaging (functions DKI_fit.m, DKI_parameters.m)
White Matter Tract Integrity metrics derived from DKI, available on github.com/NYU-DiffusionMRI/Diffusion-Kurtosis-Imaging (function wmti_parameters)
Random Permeable Barrier Model (RPBM): MATLAB code for modeling restriction size and permeability, is available on github.com/NYU-DiffusionMRI/RBPM

AFFILIATIONS

Our Funding Partners

JOIN US

We are now recruiting

We are always looking for talented and passionate scientists who are interested in moving our research forward.

View our detailed job description here.