Difference between revisions of "2012 Winter Project Week:GeometricMetamorphosis"
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| − | + | * Image registration of longitudinal neuroimaging data of traumatic brain injury (TBI), with the aim of predicting long term outcome and designing treatment plans. | |
| + | * The geometric metamorphosis registration algorithm jointly estimates global background deformations and local pathology changes. This allows injury changes to be analysed without the impact of background motion. | ||
| + | * Quantification of "infiltrative" versus "displacing" pathology changes may be a clinically-significant biomarker, and is enabled by geometric metamorphosis's separation of total deformation into background and pathology deformations. | ||
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| − | * | + | * Develop and implement voxel-wise estimates of infiltrating versus displacing pathology growth/contraction. |
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Revision as of 07:17, 9 January 2012
Home < 2012 Winter Project Week:GeometricMetamorphosis
Estimating the infiltration / recession of pathologies independent of background deformations
Key Investigators
- Kitware: Danielle Pace, Stephen Aylward
- UNC: Marc Niethammer
Objective
- Image registration of longitudinal neuroimaging data of traumatic brain injury (TBI), with the aim of predicting long term outcome and designing treatment plans.
- The geometric metamorphosis registration algorithm jointly estimates global background deformations and local pathology changes. This allows injury changes to be analysed without the impact of background motion.
- Quantification of "infiltrative" versus "displacing" pathology changes may be a clinically-significant biomarker, and is enabled by geometric metamorphosis's separation of total deformation into background and pathology deformations.
Approach, Plan
- Develop and implement voxel-wise estimates of infiltrating versus displacing pathology growth/contraction.
Progress
Delivery Mechanism
This work will be delivered to the NA-MIC Kit as a Slicer extension.
