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CSD vs CSA #1182

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salma1601 opened this Issue Feb 26, 2017 · 2 comments

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@salma1601

salma1601 commented Feb 26, 2017

Dear Dipy experts,

I have data with only 30 gradient directions not regularly distributed on the sphere. I compared the tracks computed both with CSD (recursive_response, auto_response) and CSA and it looks like for all my subjects CSD with recursive response gives the best results (just visually). I am a little surprised by my results since it is said in the doc that CSD is mainly useful with datasets with gradient directions acquired on a spherical grid. Does it make sense to choose my CSD tracks even if my data does not fulfill this constraint ?
Thanks !
Salma

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arokem commented Feb 26, 2017

Hi! This depends on so many different aspects of the data and the analysis that it is really hard to speculate about this, without empirical testing of the specific case. I think that the best way to know whether your resulting streamlines make sense is to compare them with the original data you collected. We have a method for doing that in http://nipy.org/dipy/examples_built/linear_fascicle_evaluation.html (full disclosure and disclaimer: I am a co-author of the original paper describing this method, and my opinion is not necessarily shared by other Dipy developers; I'd be curious to hear what others suggest...)

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salma1601 commented Feb 26, 2017

Ok, thanks à lot ! I will use this method (and others if suggestions) to check my streamlines quality.
Thanks a lot for contributing to devolop such useful and user-friendly tool and for answering my questions!

@arokem arokem closed this Apr 20, 2017

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