Distributed Code

Please click the link below the description for instructions on accessing the code.


MRFIL has a Github page with shared software

Please see our Github page for our shared software, including

  • PowerGrid from ISMRM 2016 - GPU and MPI accelerated iMRI image reconstruction
  • LesionMapper from ISMRM 2015 - For fully automated lesion quantification in MS
  • GPU IMPATIENT code - GPU accelerated image reconstruction code from 2013

Click Here for the MRFIL GitHub Page



Fully Automated White Matter Hyperintensity Lesion Mapping using FSL

We have developed a lesion mapper script using FSL that can measure and label lesion volumes automatically

This work is described in our ISMRM abstract:
N. C. P. Wetter, E. A. Hubbard, R. W. Motl, B. P. Sutton. Fully-automated single-image T2 white matter hyperintensity mapping and quantification with FSL. Intl Soc. Magn Reson Med, 2015. p. 1408. (Traditional Poster, Monday, Multiple Sclerosis Section)

Click Here for GitHub Page for Lesion Mapper



GPU accelerated MRI reconstruction including magnetic field inhomogeneity, non-Cartesian trajectories, parallel imaging, and image regularization

We have developed code called the "Illinois Massively Parallel Acceleration Toolkit for Image reconstruction with ENhanced Throughput in MRI (IMPATIENT MRI). This toolkit accomodates non-Cartesian trajectories, parallel imaging, field inhomogeneity, and various regularization penalties. All while it speeds reconstruction time up to a factor of 100 or more compared to accelerated CPU code.

This work is described in our latest publication:
* Gai J, Obeid N, Holtrop JL, Wu XL, Lam F, Fu M, Haldar JP, Hwu WM, Liang ZP, Sutton BP. More IMPATIENT: A Gridding-Accelerated Toeplitz-based Strategy for Non-Cartesian High-Resolution 3D MRI on GPUs. J Parallel Distrib Comput. 2013 May 1;73(5):686-697. Link to pubmed entry

Click Here for Download Page (Goes to IMPACT group site for download)



Human Physiology Systems Simulation Models


With support from Mathworks, we adapted several human physiology simulation models to enable better visualization of the simulation. There are modules on neurophysiology, cardiovascular physiology, muscle, and endocrinology. The visual representation of differential equations in Simulink allows student to visualize the overall system function, while maintaining the mathematical and quantitative nature of the model. Work is available through the Classroom Resources site of Mathworks or at the link below

Click Here for Simulation Module Request Page