https://www.na-mic.org/w/index.php?action=history&feed=atom&title=Algorithm%3AUNC%3ADTI_Tract_Statistics_Workflow 2026-05-23T01:29:52Z Revision history for this page on the wiki MediaWiki 1.33.0 https://www.na-mic.org/w/index.php?title=Algorithm:UNC:DTI_Tract_Statistics_Workflow&diff=12749&oldid=prev 2007-06-28T13:58:31Z

<p>Initial template for UNC fiber tract statistics workflow</p> <p><b>New page</b></p><div># Load diffusion weighted imaging with seven scans in Basser gradient scheme or using .nrrd file with gradient metadata<br /> # Estimate tensors and compute derived tensors measures<br /> # Save FA image to identify ROIs<br /> # Load FA image in InsightSNAP<br /> # Draw source and target ROI for tracking<br /> # Load ROIs in FiberTracking and compute fiber tracts<br /> # Save resulting fiber tracts<br /> # Load resulting fiber tracts in FiberViewer<br /> # Add image for background overlay (optional)<br /> # Cluster fiber tracts to clean results<br /> ## Length filtering<br /> ## Center of gravity based Hierarchical Agglomerative Clustering (HAC): Useful for removing outliers<br /> ## Mean distance based Hierarchical Agglomerative Clustering (HAC): Useful for removing outliers<br /> ## Hausdorff distance based Hierarchical Agglomerative Clustering (HAC): Useful for seperating sections of bundles with small deviations at one end<br /> ## Normalized cut clustering based on mean distance: Research clustering method<br /> # Manual tract editing<br /> ## Cutting fibers with plane<br /> ## Resampling fibers<br /> # Tract based statistics<br /> ## Averaged derived properties as function of arc-length<br /> ## Average tensor as function of arc-length</div>

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