Preliminary analysis of hippocampal shape from namic darmouth data
Download
1 / 15

Preliminary Analysis of Hippocampal Shape from NAMIC Darmouth Data - PowerPoint PPT Presentation


  • 70 Views
  • Uploaded on
  • Presentation posted in: General

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

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha

Download Presentation

Preliminary Analysis of Hippocampal Shape from NAMIC Darmouth Data

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


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 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 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


ad
  • Login