open-discussion > Problem during image creation - each slice is a separate image
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Jun 27, 2018 01:06 PM | Dilara Erisen - Aysel Sabuncu Brain Research Center
Problem during image creation - each slice is a separate image
Hi, I am using a multi-band sequence for
diffusion-weighted imaging. Recently, I came across a problem
where individual slices from a volume are created as separate
images. For example, I am acquiring 64 volumes with 90 slices in
each. Normally I would have 64 images but now I have 60 x 64
= 3840 images. This results in giant size of data and
also I could not use this images to create a 4D volume. If there is
anyone came across a similar problem or know what might be causing
this I would really appreciate the help.
Best,
Dilara
Best,
Dilara
Jun 28, 2018 11:06 AM | Dilara Erisen - Aysel Sabuncu Brain Research Center
RE: Problem during image creation - each slice is a separate image
Originally posted by Dilara Erisen:
Sorry it is 64 volumes with 60 slices in each.
Hi, I am using a multi-band sequence for
diffusion-weighted imaging. Recently, I came across a problem
where individual slices from a volume are created as separate
images. For example, I am acquiring 64 volumes with 90 slices in
each. Normally I would have 64 images but now I have 60 x 64
= 3840 images. This results in giant size of data and
also I could not use this images to create a 4D volume. If there is
anyone came across a similar problem or know what might be causing
this I would really appreciate the help.
Best,
Dilara
Best,
Dilara
Sorry it is 64 volumes with 60 slices in each.
Jun 28, 2018 02:06 PM | Liang Zhan - University of Pittsburgh
RE: Problem during image creation - each slice is a separate image
Maybe there are some other simpler ways to deal with,
here is my solution:
Check the dicom filename, and put each volume's 60 slices into one folder and run dcm2nii to get a 3D image,
then combine 64 3D images to get a 4D image.
here is my solution:
Check the dicom filename, and put each volume's 60 slices into one folder and run dcm2nii to get a 3D image,
then combine 64 3D images to get a 4D image.