Difference between revisions of "2009 Summer Project Week Statistical Toolbox"

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<h3>Objective</h3>
 
<h3>Objective</h3>
We will be taking an inventory of 2d/3d registration algorithms available between our groups, and accelerating at least one using CUDA for NVIDIA hardware.
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The objective of this project is to build a statistical toolbox for brain images, and integrate this toolbox into Slicer. Current tools such as SurfStat and SPM allow to run statistical experiments in two levels. The first level correspond to a single subject study where the progression of a disease, the effect of a drug or the functional activation (fMRI) is analyzed over time. The second level correspond to cross-sectional studies where multiple subjects are compared using designs such as ANOVA and T-tests in all its varieties.
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The proposal is then to construct a third level for experiment design where single-subject or multiple-subject experiments can be carried out from different modalities simultaneously. In such environment, every subject has a set of images(anatomical MR, functional MR, PET data, etc...) and the statistics are taken on the vectors that are composed by taking the respective intensities for the same spatial location in each one of these images.
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Revision as of 15:01, 4 June 2009

Home < 2009 Summer Project Week Statistical Toolbox


Key Investigators

  • Robarts Research/UWO: Diego Cantor


Objective

The objective of this project is to build a statistical toolbox for brain images, and integrate this toolbox into Slicer. Current tools such as SurfStat and SPM allow to run statistical experiments in two levels. The first level correspond to a single subject study where the progression of a disease, the effect of a drug or the functional activation (fMRI) is analyzed over time. The second level correspond to cross-sectional studies where multiple subjects are compared using designs such as ANOVA and T-tests in all its varieties.

The proposal is then to construct a third level for experiment design where single-subject or multiple-subject experiments can be carried out from different modalities simultaneously. In such environment, every subject has a set of images(anatomical MR, functional MR, PET data, etc...) and the statistics are taken on the vectors that are composed by taking the respective intensities for the same spatial location in each one of these images.


Approach, Plan


Progress


References