Related Website

Image Informatics

  1. TrackVis:
    TrackVis is a software tool that can visualize and analyze fiber track data from diffusion MR imaging (DTI/DSI/HARDI/Q-Ball) tractography.
  2. FSL:
    FSL is a comprehensive library of analysis tools for FMRI, MRI and DTI brain imaging data. FSL is written mainly by members of the Analysis Group, FMRIB, Oxford, UK. FSL runs on Apple and PCs (Linux and Windows), and is very easy to install
  3. Freesurfer:
    FreeSurfer is a set of automated tools for reconstruction of the brain’s cortical surface from structural MRI data, and overlay of functional MRI data onto the reconstructed surface
  4. BrainVisa:
    BrainVISA is a software, which embodies an image processing factory. A simple control panel allows the user to trigger some sequences of treatments on series of images. These treatments are performed by calls to command lines provided by different laboratories. These command lines, hence, are the building blocks on which are built the assembly lines of the factory
  5. MRIStudio:
    MRI Studio is an image processing program running under Windows. It is suitable for such tasks as tensor calculation, color mapping, fiber tracking, and 3D visualization. Most of operations can be done with only a few clicks
  6. Camino:
    Camino is a free, open-source, object-oriented software package for analysis and reconstruction of Diffusion MRI data, tractography and connectivity mapping.
  7. MedINRIA:
    MedINRIA is a free collection of softwares developed within the Asclepios research project. It aims at providing to clinicians state-of-the-art algorithms dedicated to medical image processing and visualization.
  8. ExploreDTI:
    “ExploreDTI” is a graphical toolbox, developed by Alexander Leemans, for exploratory diffusion (tensor) MRI and fiber tractography (official release at the ISMRM - Hawaii, 2009).

Biomedical Informatics


  1. Labview (National Instruments):
    LabVIEW graphical programming has revolutionized the development of test, measurement, and control applications. Regardless of experience, engineers and scientists can rapidly and cost-effectively interface with measurement and control hardware, analyze data, share results, and distribute systems.
  2. Weka :
    Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
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