Preliminary analysis of hippocampal shape from namic darmouth data
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Preliminary Analysis of Hippocampal Shape from NAMIC Darmouth Data. Processing: Martin Styner Data: Andy Saykin. General Items. UNC shape pipeline worked without any modification on the Dartmouth data Processing pipeline not yet ready for Core 3 since no point&click User Interface

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Preliminary Analysis of Hippocampal Shape from NAMIC Darmouth Data

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Preliminary analysis of hippocampal shape from namic darmouth data

Preliminary Analysis ofHippocampal Shape fromNAMIC Darmouth Data

Processing: Martin Styner

Data: Andy Saykin


General items

General Items

  • UNC shape pipeline worked without any modification on the Dartmouth data

  • Processing pipeline not yet ready for Core 3 since no point&click User Interface

  • Hippocampal shape highly variable in data

    • I expect the need for a larger dataset in order to show consistent, reliable shape differences

  • Timeline

    • Data received: Sept 8 2005

    • This report with full results: Sept 14 2005


Shape analysis workflow

Shape Analysis Workflow

SPHARM-

PDM Shape

Preprocessing &

Parameterization

Hippocampus

Segmentation

QC

Shape &

Corresp.

Feature Computation

e.g. Subdivision or

Mean Shape Difference

Alignment

& Scale

QC of Features &

Statistical Results

Statistical Analysis

Of Features


Pre processing

Pre-processing

  • Sample case

  • Segmentation after pre-processing (establishing spherical topology)

  • 0.5mm^3 resolution


Spharm shape

SPHARM Shape

  • Spherical parametrization

  • Mirroring of right hippocampus

  • Alignment to first order ellipsoid

  • Alignment to template


Spharm shape1

SPHARM Shape

  • Overlay of voxel segmentation (red) with SPHARM (blue)

  • Average Error ~ 0.12mm


Spharm correspondence

SPHARM Correspondence


Spharm mean hippo

SPHARM Mean Hippo

Left Mean

Overall Mean

Right Mean


Asymmetry meshvalmet

Asymmetry: MeshValmet

Left vs Right

Asymmetry of

Mean Shapes

(only 6 cases)


Statistical testing

Statistical Testing

  • Only 6 cases: Do not interprete this data, it’s just an example

  • Global p-value for asymmetry shape difference: 0.34

Mean Overlay

Mean difference

Raw p-value


Hippocampal subdivision

Hippocampal Subdivision

  • Skeleton based Subdivision (11 parts)

  • Fusion into 3 (head, body, tail) or 5 parts (ant/post head, ant/post body, tail)


Hippocampal subdivision1

Hippocampal Subdivision

  • Subdivision Automatic QC images


Hippocampal subdivision2

Hippocampal Subdivision


Hippocampal subdivision3

Hippocampal subdivision

  • Agreement with local shape analysis

Trend

P < 0.5


Conclusion spharm

Conclusion SPHARM

  • Success! (ALL images in this ppt are from Darmouth hippocampus data)

  • Hippocampus shape is variable, but correspondence and alignment worked very nicely

  • Of course, no real analysis was possible with 6 datasets, but asymmetry analysis shows good example


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