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== 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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