Difference between revisions of "Projects:RegistrationDocumentation:UseCaseInventory:WholeBody"
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Whole body datasets have challenging issues re. field of view. Different FOV can lead to image content drastically different causing difficulties for automated registration schemes. On the upside, the richness of features make manual and fiducial-based alignment easier than with other image types. | Whole body datasets have challenging issues re. field of view. Different FOV can lead to image content drastically different causing difficulties for automated registration schemes. On the upside, the richness of features make manual and fiducial-based alignment easier than with other image types. | ||
| − | *[[Image: | + | *[[Image:RegLib_C08_WholeBodyPET-CT1.png|70px|lleft|RegLib C08: PET-CT1]] [[Image:RegLib_C08_WholeBodyPET-CT1.png|70px|lleft|RegLib C08: : PET-CT2]] '''Case 08: [[Projects:RegistrationDocumentation:RegLib_08_WholeBodyPET-CT|Intra-subject PET-CT scan.''' Two exams each with a co-registered PET-CT dataset.]] |
Revision as of 19:33, 3 February 2010
Home < Projects:RegistrationDocumentation:UseCaseInventory:WholeBodyCase Inventory Whole Body PET/CT
Whole body datasets have challenging issues re. field of view. Different FOV can lead to image content drastically different causing difficulties for automated registration schemes. On the upside, the richness of features make manual and fiducial-based alignment easier than with other image types.
