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Home < Documentation < Nightly < Modules < DistanceMapBasedRegistration

For the stable Slicer documentation, visit the 4.10 page.

Introduction and Acknowledgements

This module is part of the SlicerProstate extension.

Acknowledgments: This work is/was supported in part the National Institutes of Health, National Cancer Institute through the following grants:

Authors: Andrey Fedorov (SPL), Andras Lasso (Queen's University)
Contact: Andrey Fedorov, <email></email>

License: Slicer License

National Center for Image Guided Therapy (NCIGT)  
Quantitative Image Informatics for Cancer Research  
Surgical Planning Laboratory (SPL)  

Module Description

This module was originally developed to enable registration between segmented MRI and transrectal ultrasound (TRUS) images of the prostate. The registration approach is based on hierarchical deformable registration of the smoothed distance maps of the segmentation masks (see details in the publication provided in the references section), and thus is not modality- or organ-specific, and can be applied in other applications.
Module control panel.

Use Cases

  • MRI-ultrasound fusion biopsy of the prostate (primary)
  • therapy planning
  • treatment response assessment


None at this time ... stay tuned!

The module is also intended to be used for conducting registration in batch mode. Instructions to be developed.

Panels and their use

  • Fixed image (optional): image that should be used as reference in registration
  • Segmentation of the fixed image
  • Moving image (optional): image to be registered
  • Segmentation of the moving image
  • Registration affine transform: transform to store the result of affine registration
  • Registration deformable transform: transform to store the result of deformable registration
  • Visualization: initializes slice viewers to show overlay of the fixed and moving images (before or after registration), outline of the fixed image segmentation and the registration transform grid and visualization of the fixed and moving segmentation label surfaces in 3d view

See module description

Similar Modules

Add registration modules here


[1] Fedorov A, Khallaghi S, Antonio Sánchez C, Lasso A, Fels S, Tuncali K, Neubauer Sugar E, Kapur T, Zhang C, Wells W, Nguyen PL, Abolmaesumi P, Tempany C. (2015) Open-source image registration for MRI–TRUS fusion-guided prostate interventions. Int J CARS: 1–10. Available:

[2] Fedorov A, Nguyen PL, Tuncali K, Tempany C. (2015). Annotated MRI and ultrasound volume images of the prostate. Zenodo.

Information for Developers