Difference between revisions of "Documentation/Nightly/Modules/DistanceMapBasedRegistration"
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+ | |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. | ||
+ | | [[File:DistanceMapBasedRegistration_example1.png|thumb|720px| Example visualization of MRI/TRUS registration result obtained using this module. Yellow outline is the contour of the manual segmentation of the prostate gland in TRUS, over the registered MRI image of the same prostate.]] | ||
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Revision as of 16:22, 16 April 2015
Home < Documentation < Nightly < Modules < DistanceMapBasedRegistration
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
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) License: Slicer License
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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. |
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
- Source code: https://github.com/SlicerProstate/SlicerProstate/tree/master/DistanceMapBasedRegistration