Algorithm:MGH:TenorBasedGroupComparison

DTI 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:

Multivariate vs. Univariate Test Comparison

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.

Tensor-based group comparison (Cramer test)

• Use case: 'Compare DTI images between groups using the full tensor information.'
• Difficulty: Medium
• Impact: Medium-High

1. Implement in R (Whitcher/Tuch) : done
2. Power analysis (Whitcher) : done
3. Port to Matlab (Whitcher) : done
4. Validate Matlab version against R (Whitcher) : done
5. Test on group data : done
6. Release bootstrap-only version to test group: done
7. Port FFT method from R to matlab (Whitcher): done
8. Implement FFT method in diffusion development environment (Tuch): done