https://www.slicer.org/w/index.php?action=history&feed=atom&title=Documentation%2F4.6%2FExtensions%2FSlicerProstateDocumentation/4.6/Extensions/SlicerProstate - Revision history2026-04-29T17:08:17ZRevision history for this page on the wikiMediaWiki 1.33.0https://www.slicer.org/w/index.php?title=Documentation/4.6/Extensions/SlicerProstate&diff=47510&oldid=prevUpdateBot: Nightly -> 4.62016-11-07T06:36:43Z<p>Nightly -> 4.6</p>
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{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
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Extension: [[Documentation/{{documentation/version}}/Extensions/SlicerProstate|SlicerProstate]]<br><br />
Acknowledgments:<br />
This work is supported in part by the National Cancer Institute and the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health through the following grants:<br />
* Quantitative MRI of prostate cancer as a biomarker and guide for treatment, Quantitative Imaging Network (U01 CA151261, PI Fennessy)<br />
* [http://igtpg.spl.harvard.edu/ Enabling technologies for MRI-guided prostate interventions] (R01 CA111288, PI Tempany)<br />
* [http://ncigt.org/ The National Center for Image-Guided Therapy] (P41 EB015898, PI Tempany)<br />
* Advancement and Validation of Prostate Diffusion and Spectroscopic MRI (R01 CA160902, PI Maier)<br />
* [http://qiicr.org Quantitative Image Informatics for Cancer Research (QIICR)] (U24 CA180918, PIs Kikinis and Fedorov).<br><br />
Contributors: Andrey Fedorov ({{collaborator|name|spl}}), Andras Lasso (Queen's University), Alireza Mehrtash (Brigham and Women's Hospital)<br><br />
Contact: Andrey Fedorov, <email>fedorov@bwh.harvard.edu</email><br><br />
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License: [http://www.slicer.org/pages/LicenseText Slicer License]<br />
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{{documentation/{{documentation/version}}/extension-section|Extension Description}}<br />
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SlicerProstate extension hosts various modules to facilitate <br />
* processing and management of prostate image data<br />
* utilizing prostate images in image-guided interventions<br />
* development of the imaging biomarkers of the prostate cancer<br />
While the main motivation for developing the functionality contained in this extension was prostate cancer imaging applications, they can also be applied in different contexts.<br />
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*[[Documentation/{{documentation/version}}/Modules/DistanceMapBasedRegistration|Distance Map Based Registration]]: module that can be used for deformable registration between prostate gland segmentations in MR and TRUS<br />
*[[Documentation/{{documentation/version}}/Modules/SegmentationSmoothing|Segmentation Smoothing]]: module to smooth the staircase aliasing effect commonly found in prostate segmentations done in typical MRI data<br />
*[[Documentation/{{documentation/version}}/Modules/QuadEdgeSurfaceMesher|QuadEdgeSurfaceMesher]]: module to reduce the number of triangles and smooth the surface recovered with the Marching Cubes algorithm<br />
*[[Documentation/{{documentation/version}}/Modules/DWModeling|DWModeling]]: module to fit commonly used models to Diffusion Weighted MRI of the prostate<br />
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{{documentation/{{documentation/version}}/extension-section|References}}<br />
[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.<br />
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[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<br />
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[3] Kobus T., Fedorov A., Tempany C.M., Mulkern R.V., Dunne R., Maier S.E. Bi-exponential Diffusion Analysis in Normal Prostate and Prostate Cancer: Transition Zone and Peripheral Zone Considerations. Proc. of ISMRM 2015. http://www.spl.harvard.edu/abstracts/item/view/168<br />
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{{documentation/{{documentation/version}}/extension-section|Information for Developers}}<br />
* SlicerProstate organization page on github: https://github.com/SlicerProstate<br />
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