| Deletions are marked like this. | Additions are marked like this. |
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| Notice that the intensity for this area is only around 90 something instead of 110. You should put control points on these slices and all the adjacent ones. Because this problem occurs in both cross-sectionals, the base, and subsequently the longitudinals, are also affected. In cases like this, it depends on which data you are planning to use, you can choose to edit either the cross, base, or long. Control points work in all three stages. In this example, we're demonstrating what the effect will be when adding control points at the very beginning of the stream - in the cross-sectionals. |
Notice that the intensity for this area is only around 90 something instead of 110. You should put control points on these slices and all the adjacent ones. Because this problem occurs in both cross-sectionals, the base, and subsequently the longitudinals, are also affected. In cases like this, it depends on which data you are planning to use, you can choose to edit either the cross, base, or long. Control points work in all three stages. === Adding control points in the cross-sectionals === In this example, we're demonstrating what the effect will be when adding control points at the very beginning of the stream - in the cross-sectionals. |
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Here are the output of the base. You can see the difference in the surfaces from the before (left) and after (right) image at slice 108.<<BR>> {{attachment:0121_108_before.jpg}} {{attachment:0121_108_after.jpg}} You can open the output version in tkmedit using the following commands. |
To look at the output, open your subject in tkmedit using the following commands. |
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| tkmedit OAS2_0121 brainmask.mgz -aux T1.mgz -surfs | tkmedit OAS2_0121_fixed brainmask.mgz -aux T1.mgz -surfs |
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tkmedit OAS2_0121_MR1.long.OAS2_0121 brainmask.mgz -aux T1.mgz -surfs tkmedit OAS2_0121_MR2.long.OAS2_0121 brainmask.mgz -aux T1.mgz -surfs |
tkmedit OAS2_0121_MR1.long.OAS2_0121_fixed brainmask.mgz -aux T1.mgz -surfs tkmedit OAS2_0121_MR2.long.OAS2_0121_fixed brainmask.mgz -aux T1.mgz -surfs |
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Here are the output images of the base. You can see the difference in the surfaces from the before (left) and after (right) image at slice 108, although no control points were copied over.<<BR>> {{attachment:0121_108_before.jpg}} {{attachment:0121_108_after.jpg}} As for the longitudinals, control points were copied over from the cross-sectionals, and the surfaces were copied from base, therefore making a great improvement on the surfaces for the longitudinals. The before (left) and after (right) images from OAS2_0121_MR1.long.OAS2_0121 at slice 107. {{attachment:0121MR1long_107_before.jpg}} {{attachment:0121MR1long_107_after.jpg}} The before (left) and after (right) images from OAS2_0121_MR2.long.OAS2_0121 at slice 108. {{attachment:0121MR2long_108_before.jpg}} {{attachment:0121MR2long_108_after.jpg}} ---- === Adding control points in the base === |
Using Control Points to Fix Intensity Normalization
To follow this exercise exactly be sure you've downloaded the tutorial data set before you begin. If you choose not to download the data set you can follow these instructions on your own data, but you will have to substitute your own specific paths and subject names.
Here is the image of OAS2_0121_MR1_before (slice 87) and OAS2_0121_MR2_before (slice 93). These are from the cross-sectional data.
Notice that the intensity for this area is only around 90 something instead of 110. You should put control points on these slices and all the adjacent ones. Because this problem occurs in both cross-sectionals, the base, and subsequently the longitudinals, are also affected. In cases like this, it depends on which data you are planning to use, you can choose to edit either the cross, base, or long. Control points work in all three stages.
Adding control points in the cross-sectionals
In this example, we're demonstrating what the effect will be when adding control points at the very beginning of the stream - in the cross-sectionals.
After you are satisfied with your control points placements, save it, and run the following commands.
recon-all -autorecon2 -autorecon3 -subjid OAS2_0121_MR1_before recon-all -autorecon2 -autorecon3 -subjid OAS2_0121_MR2_before
After that is complete (or when the CA normalization step is complete - you can check in the recon-all-status.log), you can start rerunning the base.
recon-all -base OAS2_0121 -tp OAS2_0121_MR1_before* -tp OAS2_0121_MR2_before* -all
The last step is to rerun the longitudinals (it is best to remove the existing longitudinal directories).
recon-all -long OAS2_0121_MR1_before* OAS2_0121 -all recon-all -long OAS2_0121_MR2_before* OAS2_0121 -all
*note: Here we use OAS2_0121_MR1_before and OAS2_0121_MR2_before as the cross ids to keep it consistent with the files you are using for the edits, but note that in your actual data, when rerunning the base or the longitudinals, the ids cannot be renamed to something else (e.g. _before, _edit) unless it's after it's already ran/reran. So if you want a copy of the before version, rename that to tpid_before and edit the tpid version.
To look at the output, open your subject in tkmedit using the following commands.
tkmedit OAS2_0121_fixed brainmask.mgz -aux T1.mgz -surfs
tkmedit OAS2_0121_MR1.long.OAS2_0121_fixed brainmask.mgz -aux T1.mgz -surfs tkmedit OAS2_0121_MR2.long.OAS2_0121_fixed brainmask.mgz -aux T1.mgz -surfs
Here are the output images of the base. You can see the difference in the surfaces from the before (left) and after (right) image at slice 108, although no control points were copied over.
As for the longitudinals, control points were copied over from the cross-sectionals, and the surfaces were copied from base, therefore making a great improvement on the surfaces for the longitudinals.
The before (left) and after (right) images from OAS2_0121_MR1.long.OAS2_0121 at slice 107. 
The before (left) and after (right) images from OAS2_0121_MR2.long.OAS2_0121 at slice 108. 
