Difference between revisions of "Documentation/Nightly/Modules/DistanceMapBasedRegistration"

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* [http://qiicr.org Quantitative Image Informatics for Cancer Research (QIICR)] (U24 CA180918, PIs Kikinis and Fedorov).<br>
 
* [http://qiicr.org Quantitative Image Informatics for Cancer Research (QIICR)] (U24 CA180918, PIs Kikinis and Fedorov).<br>
  
Authors: Andrey Fedorov ({{collaborator|name|spl}}), Andras Lasso ({{collaborator|name|queens}})<br>
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Authors: Andrey Fedorov ({{collaborator|name|spl}}), Andras Lasso (Queen's University)<br>
 
Contact: Andrey Fedorov, <email>fedorov@bwh.harvard.edu</email><br>
 
Contact: Andrey Fedorov, <email>fedorov@bwh.harvard.edu</email><br>
  

Revision as of 16:17, 16 April 2015

Home < Documentation < Nightly < Modules < DistanceMapBasedRegistration

For the stable Slicer documentation, visit the 4.10 page.

Introduction and Acknowledgements

Acknowledgments: This work 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>fedorov@bwh.harvard.edu</email>

License: Slicer License


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

Module Description

This module was originally developed to enable registration between segmented MRI and Ultrasound 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.

Use Cases

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

Tutorials

None at this time ... stay tuned!

Panels and their use

See module description

Similar Modules

Add registration modules here

References

[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: http://link.springer.com/article/10.1007/s11548-015-1180-7.

[2] Fedorov A, Nguyen PL, Tuncali K, Tempany C. (2015). Annotated MRI and ultrasound volume images of the prostate. Zenodo. http://doi.org/10.5281/zenodo.16396

Information for Developers