Difference between revisions of "Projects:RegistrationDocumentation:UseCaseInventory"
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==Case Inventory Non-Brain== | ==Case Inventory Non-Brain== | ||
− | *PET-CT whole body, 2 timepoints each | + | *PET-CT whole body, 2 timepoints each -- [[media:2009-08-PETCT.zip|see here]] |
*Breast Cancer MRI: pre- and post-treatment | *Breast Cancer MRI: pre- and post-treatment | ||
− | *Prostate intra-subject | + | * Breast Cancer - [[media:bcData.zip|original data]], [[media:4jim.zip|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== | ==Case Inventory Non-human== |
Revision as of 16:56, 6 October 2009
Home < Projects:RegistrationDocumentation:UseCaseInventoryBack to Registration main page
Contents
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 download link.
Case Inventory Brain
- Intra-subject T1-T2-DTI
- DTI baseline to T1 inter-subject with clipped FOV
- Intra-subject PD,T2, T1Gd (MS)
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