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Insight Segmentation and Registration Toolkit

RRID:SCR_001149 RRID Copied

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Insight Segmentation and Registration Toolkit (RRID:SCR_001149)

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Resource Information

URL: http://www.itk.org

Proper Citation: Insight Segmentation and Registration Toolkit (RRID:SCR_001149)

Description: Open source, cross platform library that provides developers with extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK builds on proven, spatially oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

Abbreviations: ITK

Synonyms: Insight Toolkit, National Library of Medicine Insight Segmentation and Registration Toolkit (ITK), Insight Segmentation and Registration Toolkit

Resource Type: portal, software resource, topical portal, data or information resource

Keywords: registration, segmentation, multidimension, image processing, reusable library, analyze, bshort/bfloat, c++, console (text based), dicom, java, minc2, nifti, nrrd, os independent, philips par/rec, python, tcl/tk

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Funding Agency: NIBIB, NIBIB, NIBIB, NCRR

Availability: Open-source license, (OSI-approved license), ITK 4.0, Apache License, v2, For versions prior and including 3.20, New BSD License, And, Simplified BSD License, Before 3.6, A variation of the, BSD License, Is used, The community can contribute to this resource

Resource Name: Insight Segmentation and Registration Toolkit

Resource ID: SCR_001149

Alternate IDs: nif-0000-00319

Alternate URLs: http://www.nitrc.org/projects/insighttoolkit

This resource

uses	Laplace Beltrami Filter on QuadEdge Meshes
uses	VTK
is used by	Joint Anisotropic LMMSE Filter for Stationary Rician noise removal in DWI
is used by	Displacement Field Viewer
is used by	Joint Anisotropic LMMSE Filter for Stationary Rician noise removal in DWI
is listed by	NeuroImaging Tools and Resources Collaboratory (NITRC)
is related to	Vaa3D
is related to	elastix
is related to	VMTK in 3D Slicer
is related to	NA-MIC Kit
is related to	SimpleITK

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