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I already searched the topics here but couldn't figure out clearly what to do so I'm asking here. I have thousands of fiber tracts (the outputs of a tractography algorithm on brain diffusion MRI) that I'd like to cluster them. Each tract is essentially a series of points in 3D Cartesian space. Not all the tracts have the same length and start and end point. How can I extend the DTW to compute the similarity between fiber tracts?

Thank you!

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Glad you asked!

There are two ways, DTWi and DTWd. I am 99% sure that for your application, you should do DTWd [a].

You may need to do endpoint invariance [b]. I can advise more if you show me some data. eamonn

[a] http://www.cs.ucr.edu/~eamonn/Multi-Dimensional_DTW_Journal.pdf [b] http://www.cs.unm.edu/~mueen/DTW.pdf

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  • $\begingroup$ Thanks for your advice. The data is the coordinates of the fiber tracts saved in a structure variable in MATLAB. How can I share it with you? $\endgroup$ – user3708408 Nov 25 '17 at 16:38

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