Documentation/Nightly/Extensions/SlicerDMRI

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Introduction and Acknowledgements

Extension: SlicerDMRI Acknowledgments: 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: NIH NCI ITCR U01CA199459 (Open Source Diffusion MRI Technology For Brain Cancer Research) NIH P41EB015898 (National Center for Image-Guided Therapy) NIH P41EB015902 (Neuroimaging Analysis Center) National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Major Contributors: Lauren J. O'Donnell (SPL), Isaiah Norton (Brigham and Women's Hospital), Raul San Jose Estepar (Brigham and Women's Hospital), Carl-Fredrik Westin (Brigham and Women's Hospital), Alex Yarmarkovich License: Slicer License

SlicerDMRI   Surgical Planning Laboratory   NAC   NCIGT

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Extension Description

SlicerDMRI extension hosts various modules to facilitate

• processing and management of diffusion MRI image data
• utilizing diffusion MRI tractography for neuroscience studies and for planning image-guided interventions
• quantitative analysis of diffusion MRI data

Modules

• DICOM2Full Brain Tractography:
• Diffusion Brain Masking:
• Diffusion Tensor Estimation:
• Diffusion Tensor Scalar Maps:
• DWIConverter:
• DWI to Full Brain Tractography:
• Fiber Tract Measurements: module to quantify diffusion measures from fiber tracts
• Resample DTIVolume:
• Resample Scalar/Vector/DWI Volume:
• Tractography Display:
• Tractography Measurements:
• Tractography ROI Selection:
• Tractography ROI Seeding:
• Tractography Seeding:
• Tractography to Mask Image:
• UKFTractography:

References

[1] O’Donnell LJ, Westin CF. An introduction to diffusion tensor image analysis. Neurosurgery clinics of North America. 2011 Apr 30;22(2):185-96.

Information for Developers

• SlicerSlicerDMRI organization page on github: https://github.com/SlicerDMRI