Kickoff:Core3.1breakout-GG

Core 3.1 Breakout Session

Overview

• Guidance Engineering Core 2:
  • Data sharing, data format (image data, segmented data, DTI, etc.)
  • Preliminary specifications: collaborative effort
• Core clinical datasets (Harvard, Dartmouth)
• Testbed datasets (Dartmouth)
  • Few cases raw data and segmentations

Shape Segmentation/Analysis

• Shape-driven segmentation: temporal lobe MTG, ITG, STG, insular cortex, temporal pole
  • Data: BWH, Dartmouth
  • Analysis: MIT
• Shape analysis of hippocampus/ amygdala and caudate, anatomic substructures
  • Data BWH
  • Analysis: UNC, SPL
  • Substructure analysis with DTI: MGH

DTI Processing/Analysis

• Nonlinear registration of DTI, structural data, fMRI (MGH)
• Probabilistic DTI tensor data atlas whole brain (MGH)
• Tractography to identify internal capsule, uncinate fasciculus, cingulum, fornix (UNC, SPL), fiber analysis (UNC)
• DTI datasets from Harvard

fMRI

• Sample datasets with preprocessing (Dartmouth)
• Display and further processing: fMRI + sMRI + DTI: Slicer SPL

Deliverables Year 1

• Segmentation:
  • all aforementioned structures
  • Tests with Dartmouth sample datasets
• Shape analysis:
  • Statistical shape analysis of caudate, amygdala/hippocampus
  • Anatomical shape subdivision
  • Specifications Core 2: Datastructures shape/DTI

• DTI:
  • Nonlinear registration tool (DTI, sMRI, fMRI)
  • Probabilistic DTI tensor dataset
  • Analysis of aforementioned fiber bundles
  • FiberViewer: Fiber tract analysis tool

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