Difference between revisions of "Projects:RegistrationDocumentation:UseCaseInventory"
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*Scan-rescan intra-subject. No change. | *Scan-rescan intra-subject. No change. | ||
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+ | *[[DTI-non-rigid|DTI affine & non-rigid alignment]] | ||
==Case Inventory Non-Brain== | ==Case Inventory Non-Brain== |
Revision as of 21:23, 9 October 2009
Home < Projects:RegistrationDocumentation:UseCaseInventoryBack to Registration main page
Contents
Source
Data is collected from a variety of sources. Because we want to focus on the registration problem and not be distracted by image format or other data management issues, the datasets listed here are copied and reformatted. As the data becomes available a download link is added. The final format for the data sharing mechanism is yet undecided, likely XNAT CENTRAL. Where possible the link to the original source is provided.
- Links here also from the NA-MIC resource page.To be updated when moving.
Formatting
We seek to have all datasets in a single-volume file format, most likely .nii or .nrrd
Once formatting, anonymization and description are complete, listing here will be replaced with a download link. Temporarily listed are links to source databases, where avail.
Case Inventory Brain
- Intra-subject T1-T2-DTI
- DTI baseline to T1 inter-subject with clipped FOV
- Intra-subject PD,T2, T1Gd (MS)
- Scan-rescan intra-subject. No change.
- UNC Midas Database of healthy volunteers
- DTI affine & non-rigid alignment
Case Inventory Non-Brain
- PET-CT whole body, 2 timepoints each -- see here
- Breast Cancer MRI: pre- and post-treatment
- Breast Cancer - original data, two time points after some registration and processing
- Prostate image database (intra- and inter-subject registration use cases) http://prostatemrimagedatabase.com/index.html
- knee registration for Simbios project -- http://slicer.spl.harvard.edu/slicerWiki/index.php/Stanford_Simbios_group
- liver MR to CT -- will make available
- kidney MR to CT -- will make available
Case Inventory Non-human
Self-validation Sets
These are datasets with artificial misalignment, i.e. the perfect alignment is known.
- Dual Echo PD/T2 intra subject different contrast self validation
- Isotropic Brain SPGR T1 with single axis rotation