minqicho

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  • in reply to: tractconnect #631
    minqicho
    Participant

    Hi Tetsuya

    May I ask what’s in the brainsuite_labeldescription-92.xml file?
    Is it a modified version of the standard BrainSuite description file

    in reply to: Connectivity #448
    minqicho
    Participant

    Hi tetsuya

    From the MATLAB error message, it seems that you ran into a memory issue.
    As I do not have access to your label file, would you elaborate it a bit more? Is it the direct output from BrainSuite?

    in reply to: Connectivity #366
    minqicho
    Participant

    Hi Tetsuya

    How many ROIs do you have?
    If you set the flag ‘allROI’, you should have all pair-wise ROI results, which means if you have 300 ROIs you will get 300*300 rows.

    It may be more appropriate if you only focus on certain ROI pairs’ connectivities if you having a too specific parcellation.

    in reply to: Connectivity normalization #325
    minqicho
    Participant

    Hi

    Could you provide a little more details so that we could help you? Which connectivity matrix are you saving? Do you mean the one in Menu: File–>Save Connectivity Matrix

    in reply to: Tracts visualisation in axial, Sagittal and coronal view #324
    minqicho
    Participant

    Hi Davide

    Visualizing tracts in 3 views is not directly supported in current version of BrainSuite. But there is an alternate to achieve so. You can use TractConnect (http://neuroimage.usc.edu/neuro/Resources/TractConnect) to generate a mask file for the selected tract. Then if you load the mask file with your 3d image, they will be aligned and visualized in the 3d view.

    in reply to: Connectivity #323
    minqicho
    Participant

    Hi Tetsuya

    It depends on what kind of connectivity value you are looking for. If you want to simply extract the number of tracts connecting two ROIs, you can do it in BrainSuite. There is a button under Menu–>File–>Save Connectivity Matrix can do it.
    You want any further metric of the tracts (eg. Mean/Median of FA/MD), you need to use TractConnect tool (http://neuroimage.usc.edu/neuro/Resources/TractConnect)

    Let me know if you have any further questions.

Viewing 6 posts - 1 through 6 (of 6 total)