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Introduction and Acknowledgements
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Extension: 3D_Model_Segmentation
Acknowledgments:
This work supported in part the National Institutes of Health, National Cancer Institute through the following grants:
Authors: Andrew Beers (Massachusetts General Hospital)
Contact: Andrew Beers, <email>abeers@mgh.harvard.edu</email>
License: Slicer License
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| Quantitative Image Informatics for Cancer Research
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Module Description
Module description here.
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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Use Cases
Tutorials
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
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Similar Modules
Slicer Registration modules and extensions.
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
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