Modules:EMDTIClustering-Documentation-3.5

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Gallery of New Features

Module Name

EM Fiber Clustering Module

Module Interface

Trajectories colored by their cluster ID

Final cluster centers colored by the mean FA along the bundles

General Information

Module Type & Category

Type: CLI

Category: Clustering

Authors, Collaborators & Contact

• Mahnaz Maddah
• James Miller
• Contact: Mahnaz Maddah, maddah@ge.com

Module Description

This module clusters a set of input trajectories into a number of bundles, generates arc length parameterization by establishing the point correspondences and reports diffusion parameters along the bundles as well as the membership probability of each trajectory in each cluster. The module requires specification of seed trajectories (or initial centerlines) as representatives of the desired bundles.

Usage

Examples, Use Cases & Tutorials

Tutorial and test data can be downloaded from here:

http://www.nitrc.org/projects/quantitativedti/

Quick Tour of Features and Use

Here is a list of the panels in the module:

• IO panel:

 Trajectories                        Input trajectories to be clustered.
 Output Clusters                     Clustered trajecories labeled by their cluster ID.
 Initial Centers                     [optional] Initial center(s). Note that intial centers need to be provided either by passing a set of trajectories here or a fiducial list. 
 Fiducials to Pick Initial Centers   [optional] A fiducial list to generate initial center(s). For each fiducial in the list the closest trajectory in the input is selected as the initial center. 
 Output Initial Centers              [Optional] Selected initial cluster centers.
 Output Final Centers                [Optional] Final cluster centers, colored by the mean FA value along the bundle if "Perform tract-oriented quantitative analysis" is flaged .
 Perform tract-oriented quantitative analysis Flag that needs to be marked if quantitative analysis is desired to be done.
 Output Directory A directory needs to be specified if performing quantitative analysis.       
 File Prefix Name Prefix of the output files generated through tract-oriented analysis. 
 Description of generated CSV files by EM Clustering Module

• Clustering Parameters:

 Iterations       Number of EM Iterations.
 Compactness of Fiber Bundles    Parameter between 1 and 5 that specifies the extent of similarity between the trajectories of each cluster. Increase the value for more compact bundles.  

• Advanced Parameters:

 Space resolution Space resolution for distance map calculation.
 Maximum Distance Maximum distance in mm specifies an upper threshold on the distance of points that can contribute to new center formation.

Development

Known bugs

Follow this link to the Slicer3 bug tracker.

Usability issues

Follow this link to the Slicer3 bug tracker. Please select the usability issue category when browsing or contributing.

Source code & documentation

Source code link

More Information

References

Publications