Difference between revisions of "Projects:RegistrationDocumentation:UseCaseInventory:Musculoskeletal"

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(Created page with 'back to Library Main Page <br> ==Case Inventory Muscuolskeletal == Muscuolskeletal datasets have a set of particular cha…')
 
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==Case Inventory Muscuolskeletal  ==
 
==Case 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.
 
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.
==Registration Case Inventory Brain==
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==Registration Case Inventory Musculoskeletal ==
*[[Image:RegLib_C03_Baseline_axial.png|70px|lleft|RegLib 03: DTI alignment]] [[Image:RegLib_C03_DTIVol_axial.png|70px|lleft|RegLib C03: DTI alignment]]  '''Case 03: [[Projects:RegistrationDocumentation:RegLib_03_DWIToBaseline|DWI alignment: align DTI volume with structural reference scan (T2)]]'''
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*[[Image:RegLib_C03_Baseline_axial.png|70px|lleft|RegLib 03: DTI alignment]] [[Image:RegLib_C03_DTIVol_axial.png|70px|lleft|RegLib C03: DTI alignment]]  '''Case 05: [[Projects:RegistrationDocumentation:RegLib_03_DWIToBaseline|Inter-subject knee MRI with different FOV and aliasing)]]'''
  
  
*DTI baseline to T1 inter-subject with clipped FOV
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*Liver CT-MRI
*[[DTI-non-rigid|DTI affine & non-rigid alignment]]
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*kidney CT-MRI

Revision as of 17:57, 3 February 2010

Home < Projects:RegistrationDocumentation:UseCaseInventory:Musculoskeletal

back to Library Main Page

Case 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.

Registration Case Inventory Musculoskeletal


  • Liver CT-MRI
  • kidney CT-MRI