HARNESS Software Catalog

8 Item(s)

  1. AutoPtx
    AutoPtx is a set of simple scripts and robust mask images to run FSL probabilistic tractography in an unsupervised manner.
  2. CHeBA NiL Software (CNS)
    CHeBA NiL Software (CNS) is a software package for processing neuroimaging data.
  3. DCE-MRI processing
    Matlab functions for fitting DCE-MRI signal data to the Patlak pharmacokinetic model.
  4. ExploreASL
    ExploreASL is a pipeline and toolbox for image processing and statistics of arterial spin labeling perfusion MR images. It is designed as a multi-OS, open source, collaborative framework that facilitates cross-pollination between image processing method developers and clinical investigators. The software provides a complete head-to-tail approach that runs fully automatically, encompassing all necessary tasks from data import and structural segmentation, registration and normalization, up to CBF quantification. In addition, the software package includes and quality control (QC) procedures and region-of-interest (ROI) as well as voxel-wise analysis on the extracted data. To-date, ExploreASL has been used for processing ~10000 ASL datasets from all major MRI vendors and ASL sequences, and a variety of patient populations, representing ~30 studies. The ultimate goal of Explore ASL is to combine data from multiple studies to identify disease related perfusion patterns that may prove crucial in using ASL as a diagnostic took and enhance our understanding of the interplay of perfusion and structural changes in neurodegenerative pathophysiology.
  5. Methods of the WMH Segmentation Challenge
    This is an overview of all open-access method that have been evaluated in the WMH Segmentation Challenge.
  6. PSMD - Peak width of skeletonized mean diffusivity
    PSMD (peak width of skeletonized mean diffusivity) is a robust, fully-automated and easy-to-implement marker for cerebral small vessel disease based on DTI, white matter tract skeletonization and histogram analysis.
  7. T1, T2 and T2* mapping
    Generate T1, T2 and T2* maps.
  8. White matter lesion segmentation by k nearest neighbor classification with tissue type priors (kNN-TTP)
    k Nearest Neighbor classification with tissue type priors is used to segment white matter hyperintensities on brain MRI.

8 Item(s)