Open Resources for Advanced Imaging Research
CAI2R provides MRI reconstruction code, RF simulation tools, image analysis software, and image datasets.
We also offer RF hardware.
To enable and encourage innovation throughout the field of biomedical imaging, we openly share advanced research resources. Many resources can be downloaded through this website; Some are hosted on dedicated micro-sites or maintained on version-controlled repositories, such as Github.
- Reconstruction code
- Image reconstruction framework
- Radiofrequency and dielectric tools
- Image analysis software
- Other tools
An environment for GPU-accelerated linear and non-linear image reconstruction.
Machine learning optimization of k-space sampling for accelerated MRI.
State-of-the-art denoising for diffusion and functional imaging applications.
Software for robust estimation of DKI metrics
Uniform and robust fat/water separation for free-breathing radial MRI.
Software for T2 quantification in multi-spin-echo MRI.
Up to 40x acceleration for multi-coil gridding of arbitrary-shaped k-space data.
Reconstruction code for fast and flexible free-breathing dynamic volumetric MRI.
A high-quality reconstruction of accelerated MRI via joint estimation of image and coil sensitivities.
A nonlinear-optimization-based image reconstruction that allows for use of prior knowledge via penalty functions with data from multiple coils.
Combined parallel imaging and compressed sensing reconstruction for accelerated perfusion MRI.
Low-rank plus sparse reconstruction for highly accelerated dynamic MRI.
An accurate, rapidly converging, low-compute algorithm for approximating solutions to the least absolute shrinkage and selection operator (LASSO) problem.
A method for parameter mapping in accelerated MRI.
Scripts for two-dimensional modeling of diffusion.
A MATLAB toolbox for reconstruction of quantitative maps from MR fingerprinting data.
A magnetic resonance fingerprinting method for tractography.
A convolutional neural network for anatomically-guided PET reconstruction.
Respiratory motion compensation, automatic bolus timing, and coil-weighted unstreaking for GRASP.
A highly accurate radial reconstruction for diffusion spectrum imaging.
Scripts for modeling the time-varying diffusion coefficient in biological tissue.
Total generalized variation for denoising and reconstruction of accelerated MR data.
A non-uniform fast Fourier transform with Kaiser-Bessel gridding for machine learning applications in PyTorch.
A reconstruction method that sorts dynamic data into motion states in accelerated MRI.
Image Reconstruction Framework
A toolbox for translational research on Siemens MRI platforms.
Radiofrequency and Dielectric Tools
A radio-frequency coil inductance and capacitor calculator for Android.
Software for calculating specific absorption rate.
Scripts for temperature simulations.
An online calculator for creating dielectric MRI phantoms.
Software for predicting the effect of electromagnetic fields on MR images.
MATLAB software for calculating conductivity and permittivity of biological tissues.
MATLAB code for calculating local average specific absorption rate for a given mass of tissue.
MATLAB code for determining the UISNR at the center of a dielectric sphere.
Image Analysis Software
Medical image analysis software.
Code for low-rank plus sparse decomposition of orientation distribution functions.
A data set for research on machine learning reconstruction of MR images.
A project by the Diffusion Study Group of the International Society for Magnetic Resonance in Medicine (ISMRM)
Anonymized data from thousands of fully sampled MRI scans for machine learning research on image acquisition and reconstruction.
Simultaneously acquired positron emission tomography and magnetic resonance data of the brain, plus joint image reconstruction code.
A compact, stand-alone device for tracking and correcting patient motion in MRI exams.
Scripts for calculating diffusion kurtosis imaging metrics.
Fast and robust temperature maps from raw Siemens MRI data on OSX.
Fast and robust temperature maps from raw Siemens MRI data on PC.
Automated routing of medical image series based on user-defined rules.
Data and code for precise, sample-based modeling of axon microgeometry.
Compare machine learning performance across classifiers and datasets.
Graphical user interface for designing two-dimensional RF pulse sequences for parallel transmit systems in MATLAB.
Graphical user interface for parallel transmission radio-frequency shimming in MATLAB.
Windows software for anonymizing Siemens raw MRI data.
Software downloads and other resources made available by CAI2R are provided free of charge and come without any warranty. Neither CAI²R nor NYU Grossman School of Medicine take any liability for potential problems or damage of any kind resulting from the use of the files provided. Operation of the software is at the user’s own risk. The resources provided are not medical products and must not be used for making diagnostic decisions.
Some of the resources provided by CAI2R are works in progress. Therefore, some functionality may be missing and we cannot guarantee that the software is completely free of errors. Please check regularly for updated versions of the available download items (many resource pages contain version-history information).