Difference between revisions of "Downloads"
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==Software== | ==Software== | ||
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− | + | |[[Image:Slicer3_logo-i.jpg]] | |
− | + | |[http://www.slicer.org/pages/Special:SlicerDownloads Download Slicer]<br> | |
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− | [http://www.slicer.org/pages/Special:SlicerDownloads Download Slicer]<br> | ||
A general purpose biomedical computing application with extensive built-in visualization and analysis capabilities, accessible through an easy to use graphical interface. | A general purpose biomedical computing application with extensive built-in visualization and analysis capabilities, accessible through an easy to use graphical interface. | ||
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− | + | |[[Image:NAMIC-Kit-Overview-i.png]] | |
− | | | + | |[[NA-MIC-Kit | Download the NA-MIC Kit, including Slicer]]<br> |
− | [[NA-MIC-Kit | Download the NA-MIC Kit, including Slicer]]<br> | ||
The NA-MIC Kit is a free open source software platform. The NA-MIC Kit is distributed under a BSD-style license without restrictions or "give-back" requirements and is intended for research, but there are no restrictions on other uses. It consists of the 3D Slicer application software, a number of tools and toolkits such as VTK and ITK, and a software engineering methodology that enables multiplatform implementations. | The NA-MIC Kit is a free open source software platform. The NA-MIC Kit is distributed under a BSD-style license without restrictions or "give-back" requirements and is intended for research, but there are no restrictions on other uses. It consists of the 3D Slicer application software, a number of tools and toolkits such as VTK and ITK, and a software engineering methodology that enables multiplatform implementations. | ||
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− | + | |[[Image:Schiz-thumb.png]] | |
− | | | + | |[http://insight-journal.org/midas/collection/view/190 Brain: Multi-modality (sMRI, DTI, fMRI) from Schizophrenia Study]<br> |
− | [http://insight-journal.org/midas/collection/view/190 Brain: Multi-modality (sMRI, DTI, fMRI) from Schizophrenia Study]<br> | ||
There are 20 cases: ten are Normal Controls and ten are Schizophrenic. Each case includes a weighted T1 scan, a weighted T2 scan, an fMRI scan, a DTI volume, the DWI with 51 directions, and several masks and labelmaps. Available from Harvard. | There are 20 cases: ten are Normal Controls and ten are Schizophrenic. Each case includes a weighted T1 scan, a weighted T2 scan, an fMRI scan, a DTI volume, the DWI with 51 directions, and several masks and labelmaps. Available from Harvard. | ||
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− | + | |[[Image:Child-i.png]] | |
− | | | + | |[http://insight-journal.org/midas/community/view/24 Brain: 2-4 Year Old from Autism Study]<br> |
− | [http://insight-journal.org/midas/community/view/24 Brain: 2-4 Year Old from Autism Study]<br> | ||
Data for 2 autistic children and 2 normal controls (male, female) scanned at 2 years with follow up at 4 years from a 1.5T Siemens scanner. Files include structural data, tissue segmentation label map and subcortical structures segmentation. Available from UNC. | Data for 2 autistic children and 2 normal controls (male, female) scanned at 2 years with follow up at 4 years from a 1.5T Siemens scanner. Files include structural data, tissue segmentation label map and subcortical structures segmentation. Available from UNC. | ||
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− | + | |[[Image:Lupus-i.png]] | |
− | | | + | |[http://insight-journal.org/midas/collection/view/191 Brain: White Matter Lesions for Lupus Study]<br> |
− | [http://insight-journal.org/midas/collection/view/191 Brain: White Matter Lesions for Lupus Study]<br> | ||
Data for 5 cases of Lupus White Matter Lesion patients. The data is co-registered. Each case contains: T1-weighted, T2-weighted, FLAIR, and masks for brain and lesions. Available from MIND. | Data for 5 cases of Lupus White Matter Lesion patients. The data is co-registered. Each case contains: T1-weighted, T2-weighted, FLAIR, and masks for brain and lesions. Available from MIND. | ||
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Revision as of 16:18, 14 May 2010
Home < DownloadsContents
The following is a collection of electronic resources provided by NA-MIC. This includes software, data, tutorials, presentations, and additional documentation.
Software
Download Slicer A general purpose biomedical computing application with extensive built-in visualization and analysis capabilities, accessible through an easy to use graphical interface. | |
Download the NA-MIC Kit, including Slicer The NA-MIC Kit is a free open source software platform. The NA-MIC Kit is distributed under a BSD-style license without restrictions or "give-back" requirements and is intended for research, but there are no restrictions on other uses. It consists of the 3D Slicer application software, a number of tools and toolkits such as VTK and ITK, and a software engineering methodology that enables multiplatform implementations. |
Data
Brain: Multi-modality (sMRI, DTI, fMRI) from Schizophrenia Study There are 20 cases: ten are Normal Controls and ten are Schizophrenic. Each case includes a weighted T1 scan, a weighted T2 scan, an fMRI scan, a DTI volume, the DWI with 51 directions, and several masks and labelmaps. Available from Harvard. | |
Brain: 2-4 Year Old from Autism Study Data for 2 autistic children and 2 normal controls (male, female) scanned at 2 years with follow up at 4 years from a 1.5T Siemens scanner. Files include structural data, tissue segmentation label map and subcortical structures segmentation. Available from UNC. | |
Brain: White Matter Lesions for Lupus Study Data for 5 cases of Lupus White Matter Lesion patients. The data is co-registered. Each case contains: T1-weighted, T2-weighted, FLAIR, and masks for brain and lesions. Available from MIND. | |
Prostate: 5 robot-assisted intervention cases for Prostate Cancer | |
Prostate: 10 cases | |
Prostate: Transrectal Tutorial Dataset | |
Spine Phantom: PerkStation Tutorial Dataset | |
Visible Human Datasets | |
Registration Case Library Home Page |
Tutorials
Tutorials for Biomedical Engineers and Clinical Research Users of the NA-MIC Kit (PDF and PPT downloads)
Stochastic Tractography to extract, visualize and quantify white matter connections from Diffusion Images in Schizophrenia Study The python stochastic tractography module contains the tools necessary to extract, visualize and quantify white matter connections from DTI images. It seeds nerve fiber bundles from regions of interest (ROIs) based on DWI images. Unlike streamline tractography, stochastic tractography uses a probabilistic framework to perform tractography. | |
Classification of White Matter Lesions for Lupus | |
Trans-rectal MR guided prostate biopsy and PerkStationSlicerTutorial | |
ARCTIC: Automatic Regional Cortical ThICkness Analysis for Autism | |
Confocal Microscopy | |
Non-human Primates Segmentation Tutorial | |
Hammer Registration for Brain MRI | |
Centerline Extraction of Coronary Arteries using VMTK | |
EM Fiber Clustering |
Additional Tutorials