Difference between revisions of "Algorithm:MGH:TenorBasedGroupComparison"
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The figure shows an example of the potential gain in sensitivity using a multivariate tensor test in comparison to the univariate FA test: | The figure shows an example of the potential gain in sensitivity using a multivariate tensor test in comparison to the univariate FA test: | ||
| − | + | [[Image:GrpCmpImg.jpg|thumb|182px|right|Multivariate vs. Univariate Test Comparison]] | |
| − | + | [[Image:GrpCmpGrph.jpg|thumb|182px|right|]] | |
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'''Status''' The tensor based group comparison method was released into the FreeDiffusion environment at MGH. Paper submitted: "Statistical Group Comparison of Diffusion Tensors via Multivariate Hypothesis Testing." The implementation is in Matlab. Results are able to be visualized in Slicer. | '''Status''' The tensor based group comparison method was released into the FreeDiffusion environment at MGH. Paper submitted: "Statistical Group Comparison of Diffusion Tensors via Multivariate Hypothesis Testing." The implementation is in Matlab. Results are able to be visualized in Slicer. | ||
Revision as of 14:26, 20 December 2006
Home < Algorithm:MGH:TenorBasedGroupComparisonDTI Analysis: Tensor-based Group Comparison
Objective: To boost statistical sensitivity for group comparisons in comparison to 'traditional' univariate tests.
Example
The figure shows an example of the potential gain in sensitivity using a multivariate tensor test in comparison to the univariate FA test:
Status The tensor based group comparison method was released into the FreeDiffusion environment at MGH. Paper submitted: "Statistical Group Comparison of Diffusion Tensors via Multivariate Hypothesis Testing." The implementation is in Matlab. Results are able to be visualized in Slicer.
