EIDORS: Electrical Impedance Tomography and Diffuse Optical Tomography Reconstruction Software

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Project Goal

This algorithm is designed based on: 1) selection of the "ingredients" and evaluation methodology (see our paper at EIT Conference, 2008), 2) evaluation and experience with GREIT variants, and 3) consensus and definition of the GREIT algorithm. Algorithms evaluation criteria are identified to be: a) quantitative output for all positions, b) reconstructed position error (low and uniform), c) resolution (small PSF, uniform, few artefacts), d) good noise performance, e) low sensitivity to electrode and boundary movement, f) good performance on clinical and experimental data. This approach represents the consensus of a large and representative group of experts in EIT algorithm and clinical applications. All software and data to implement and test GREIT will be made available under an open source license which allows free research and commercial use.

Getting Started

• GREIT tutorial in EIDORS
  

• Paper: GREIT: a unified approach to 2D linear EIT reconstruction of lung images and Final Draft

• Source code and Latex for the paper: Browse SVN
  

• Access to Developer Version
  Read-only, worldwide access is available via SVN using

  svn co https://eidors3d.svn.sourceforge.net/svnroot/eidors3d/trunk/htdocs/papers/paper-GREIT-2008/
  

  Read-write access is available via SVN for registered developers. To become a developer, email the maintainers.

License