Skip to content

artorg-unibe-ch/label-map-warping

 
 

Repository files navigation

Labelmap warping for mesh creation

Workflow example for warping & meshing arbitrary geometry, including

  • example surface mesh
  • image creation from surface mesh
  • creation of example displacement field
  • warping by displacement field using ANTs
  • meshing of final warped image

Functionality depends on

  • python vtk
  • simpleITK
  • ANTs installation
  • installation of MeshTool

All dependencies are included in this docker image. Functionality has been tested with singularity image created from above docker, using the ipython3 executable.

Get & Use Singularity Image with dependencies

A singularity image containing all dependencies is available at singularity hub.

It can be downloaded from the shell using:

singularity pull shub://danielabler/dockerfiles:libadjoint-2017-2_ants_meshtool

To start an interactive session:

singularity shell -e <path_to_singularity_image>

To leave an interactive singularity session:

exit

Usage Example

  • Go to folder where git repository was downloaded .

  • start singularity session

    singularity shell -e <path_to_singularity_image>
  • adapt script in analysis folder, eg. analysis/pptT_prePTA.py, for one of three steps:

    1. Downsample original OCT image & produce Matlab output:
      • From this output we compute displacement.
    2. Resize original OCT image based on displacement field: This requires the disps.mat file to be present in the respective folder.
      • Uses coarse displacement field to identify approximate dimensions of image after warping.
      • Creates image and matlab output for resized image
    3. Warp image based on displacement field: This requires disps.mat as well as centerlines OCTCenterLine.mat and XrayCenterLine.mat to be present in respective folder.
      • create high-res warped image using high-res displacement field

    These steps are outlined in any of the example files in <repository/analysis/*.py> . The procedure can be followed by un/commenting the respective lines of code for each step.

  • run script from analysis folder, e.g.

    python3 analysis/pptT_prePTA.py

    When running the code with the singularity image mentioned above, make sure to use python3, not python.

  • leave an interactive singularity session:

    exit

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%