Exploring multi-modal registration for improved longitudinal modeling of patient-specific 4D DTI data
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Key Investigators
- Utah: Anuja Sharma, Bo Wang, Guido Gerig
- UCLA: Andrei Irimia, Micah Chambers, Jack Van Horn
Objective
- Utilize the lesion segmentation framework previously developed by Wang et al. for an improved modeling of longitudinal changes in white matter properties of tracts for a TBI subject.
Approach, Plan
- Co-register patient-specific structural and DTI data, together with lesion segmentations. Registration is performed using Slicer in a longitudinal fashion to establish correspondence between the acute and chronic scans from a patient across multiple modalities.
- Utilize information from the lesion segmentations to guide the tractography.
- Assess white matter changes longitudinally in tracts close to the lesions sites.
Progress
