Difference between revisions of "NiftyReg Tutorial Segmention Propagation"
From CMIC
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Assuming a template image (template.nii) and its associated segmentation (labels.nii), on can transfer the label information into the space of another image (new_image.nii). | Assuming a template image (template.nii) and its associated segmentation (labels.nii), on can transfer the label information into the space of another image (new_image.nii). | ||
| − | For this example, we used the file 1000_3.nii from [http://www.neuromorphometrics.com neuromorphometrics] and its associated segmentation as template and subject 1001_3.nii from the same database as new image. | + | For this example, we used the file 1000_3.nii from [http://www.neuromorphometrics.com neuromorphometrics] and its associated segmentation as template and subject 1001_3.nii from the same database as new image. Below are shown the ortho-views (mid-plane along each axis) of the three input images: |
| − | + | [[File:Template.png|center|500px|thumb|template.nii]] | |
| − | + | [[File:Labels.png|center|500px|thumb|labels.nii]] | |
| − | + | [[File:New image.png|center|500px|thumb|new_image.nii]] | |
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| − | | new_image.nii | + | |
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Revision as of 15:08, 9 March 2015
Segmentation propagation uses image registration to transfer segmentations (or labels) from the space of one image to the space of another.
Assuming a template image (template.nii) and its associated segmentation (labels.nii), on can transfer the label information into the space of another image (new_image.nii). For this example, we used the file 1000_3.nii from neuromorphometrics and its associated segmentation as template and subject 1001_3.nii from the same database as new image. Below are shown the ortho-views (mid-plane along each axis) of the three input images:
