Difference between revisions of "Projects:RegistrationDocumentation:UseCaseInventory:Musculoskeletal"
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Muscuolskeletal datasets have a set of particular characteristics that make registration challenging. Among the most obvious are significant image content at the borders of the FOV, large signal losses for adjacent tissue types (bone in MR, fat in CT), strong variations in image content based on limb and joint position. | Muscuolskeletal datasets have a set of particular characteristics that make registration challenging. Among the most obvious are significant image content at the borders of the FOV, large signal losses for adjacent tissue types (bone in MR, fat in CT), strong variations in image content based on limb and joint position. | ||
| − | *[[Image:RegLib C05 KneeMRI1.png|70px|lleft|RegLib 03: DTI alignment]] [[Image:RegLib C05 KneeMRI2.png|70px|lleft|RegLib C03: DTI alignment]] '''Case 05: [[Projects:RegistrationDocumentation: | + | *[[Image:RegLib C05 KneeMRI1.png|70px|lleft|RegLib 03: DTI alignment]] [[Image:RegLib C05 KneeMRI2.png|70px|lleft|RegLib C03: DTI alignment]] '''Case 05: [[Projects:RegistrationDocumentation:RegLib_05_KneeMRI|Inter-subject knee MRI with different FOV and aliasing]]''' |
*Liver CT-MRI | *Liver CT-MRI | ||
*kidney CT-MRI | *kidney CT-MRI | ||
Revision as of 17:59, 3 February 2010
Home < Projects:RegistrationDocumentation:UseCaseInventory:MusculoskeletalCase Inventory Muscuolskeletal
Muscuolskeletal datasets have a set of particular characteristics that make registration challenging. Among the most obvious are significant image content at the borders of the FOV, large signal losses for adjacent tissue types (bone in MR, fat in CT), strong variations in image content based on limb and joint position.
- Liver CT-MRI
- kidney CT-MRI
