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− | [[Projects:RegistrationDocumentation:UseCaseInventory | Registration Case Library Home Page]]<br> | + | [http://insight-journal.org/midas/item/view/2454 Spine Phantom: PerkStation Tutorial Dataset]<br> |
− | Many datasets available so that you can find a case similar enough to your particular image registration problem so that you can copy registration parameters, strategies, and tutorials. Successful registration strategies; algorithm choice and parameters vary greatly for different image contrast and content. Each listed case comprises a test dataset to try yourself, a guided step-by-step tutorial that will show you how to register the case with 3DSlicer, the solution transform so you can compare, and a custom Registration Parameter Presets file with optimized registration parameters that you can load directly into slicer.
| + | Perkstation Tutorial Dataset. Available from Queens. |
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− | [http://insight-journal.org/midas/item/view/2454 Spine Phantom: PerkStation Tutorial Dataset] | + | [https://mri.radiology.uiowa.edu/visible_human_datasets.html Visible Human Datasets]<br> |
| + | Visible Human Datasets with some post-processing. Available from Iowa. |
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− | [https://mri.radiology.uiowa.edu/visible_human_datasets.html Visible Human Datasets] | + | [[Projects:RegistrationDocumentation:UseCaseInventory | Registration Case Library Home Page]]<br> |
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| + | Many datasets available so that you can find a case similar enough to your particular image registration problem so that you can copy registration parameters, strategies, and tutorials. Successful registration strategies; algorithm choice and parameters vary greatly for different image contrast and content. Each listed case comprises a test dataset to try yourself, a guided step-by-step tutorial that will show you how to register the case with 3DSlicer, the solution transform so you can compare, and a custom Registration Parameter Presets file with optimized registration parameters that you can load directly into slicer. |
| + | *[http://www.insight-journal.org/midas/item/view/2332 Registration Library cases on the MIDAS database] |
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− | [[Projects:RegistrationDocumentation:RegLibDataList| Registration Library cases on NA-MIC Wiki]]
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− | *[http://www.insight-journal.org/midas/item/view/2332 Registration Library cases on the MIDAS database]'
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The following is a collection of electronic resources provided by NA-MIC. This includes software, data, tutorials, presentations, and additional documentation.
Software
Data
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Brain: Multi-modality (sMRI, DTI, fMRI)
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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Brain: 2-4 Year Old
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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Prostate: 5 cases
MRI Prostate data. 5 datasets, sagittal and axial scans, with and without needle. Available from Queens.
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Prostate: 10 cases
MRI Prostate data. 10 datasets, including a derived segmentation series with labelmaps. Available from Harvard.
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Prostate: Transrectal Tutorial Dataset
Transrectal Prostate Biopsy Tutorial Dataset. Walks the user through: Calibration (calibration image for the APT-MRI device), Segmentation (prostate MRI image and seeds for random walk segmentation algorithm), Targeting (target planning prostate MRI image), and Verification (needle insertion verification image). Available from Queens.
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Spine Phantom: PerkStation Tutorial Dataset
Perkstation Tutorial Dataset. Available from Queens.
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Visible Human Datasets
Visible Human Datasets with some post-processing. Available from Iowa.
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Registration Case Library Home Page
Many datasets available so that you can find a case similar enough to your particular image registration problem so that you can copy registration parameters, strategies, and tutorials. Successful registration strategies; algorithm choice and parameters vary greatly for different image contrast and content. Each listed case comprises a test dataset to try yourself, a guided step-by-step tutorial that will show you how to register the case with 3DSlicer, the solution transform so you can compare, and a custom Registration Parameter Presets file with optimized registration parameters that you can load directly into slicer.
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Tutorials
Tutorials for Biomedical Engineers and Clinical Research Users of the NA-MIC Kit
Additional Tutorials