Dear Ebrahim Thank you so much I will try saving it as suggested by you
Venkateswaran On Tue, Sep 24, 2024 at 2:07 AM Ebrahim Ebrahim <[email protected]> wrote: > Hi Venkateswaran, I think the command that you listed is indeed saving the > eigenvectors. There are three eigenvectors and each has 3 components, hence > 3x3 information at each voxel. They should be ordered with the principal > eigenvector first, so just index your array at 0 in that dimension to get > only the principal eigenvector. e.g. if your array is shape (H,W,D,3,3) > then i believe you'd index with [:,:,:,0,:] > > Ebrahim > > On Mon, Sep 23, 2024 at 12:22 PM Venkateswaran Rajagopalan < > [email protected]> wrote: > >> Dear All >> >> I am new to DIPY. I am using dipy's tensor fit command used by Marc Golub >> in his free water estimation using Beltrami fit code (as I have only six >> directional clinical scans). >> I would like to save the eigen vector files in nifti format which I would >> like to use for tractography using another software especially eigen vector >> 1. >> >> I followed the documentation given in webpage >> https://workshop.dipy.org/documentation/1.6.0./examples_built/reconst_dti/ >> and used the command >> >> save_nifti('tensor_evecs.nii.gz', tenfit.evecs.astype(np.float32), affine) >> >> but it looks like the above command saves the Diffusion tensor matrix >> Dxx, Dxy etc and is of 3*3 >> >> How to get only the eigenvector 1, 2 and 3 separately and save them >> separately >> >> I spent quite some time searching the DIPY documentation and email >> archives but was not able to find it. Can some in the email list kindly >> help me with the command to save the eigenvector 1 as a nifti file >> >> Thanks >> Venkat >> _______________________________________________ >> DIPY mailing list -- [email protected] >> To unsubscribe send an email to [email protected] >> https://mail.python.org/mailman3/lists/dipy.python.org/ >> Member address: [email protected] >> > -- The information contained in this electronic communication is intended solely for the individual(s) or entity to which it is addressed. It may contain proprietary, confidential and/or legally privileged information. Any review, retransmission, dissemination, printing, copying or other use of, or taking any action in reliance on the contents of this information by person(s) or entities other than the intended recipient is strictly prohibited and may be unlawful. If you have received this communication in error, please notify us by responding to this email or telephone and immediately and permanently delete all copies of this message and any attachments from your system(s). The contents of this message do not necessarily represent the views or policies of BITS Pilani.
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