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The current pipeline to generate softseg aligns all images to T2w space. However, there are some cases that the FOV of T1w in S-I direction is larger than for T2w. In those cases, the segmentation of T1w out of bounds for T2w space is lost during registration to T2w and when we bring back the softseg, it ends before the end of spinal cord (and original segmentation)
Original segmentation for T1w
Softseg brought back from T2w space to T1w:
Not sure if we really want to address this, I haven't investigated yet how many images this affects.
If we want to address this, it could be possible to add the missing part of the segmentation since we can know the minimum index of the softseg in T1w space.
The text was updated successfully, but these errors were encountered:
I know this would happen eventually 😅
For now, let's not consider these missing segmentations. I know this is frustrating, but we need to move forward and this is not top priority. We can leave the issue open and address it at some point.
I know this would happen eventually 😅
For now, let's not consider these missing segmentations. I know this is frustrating, but we need to move forward and this is not top priority. We can leave the issue open and address it at some point.
Description
The current pipeline to generate softseg aligns all images to T2w space. However, there are some cases that the FOV of T1w in S-I direction is larger than for T2w. In those cases, the segmentation of T1w out of bounds for T2w space is lost during registration to T2w and when we bring back the softseg, it ends before the end of spinal cord (and original segmentation)
Original segmentation for T1w
Softseg brought back from T2w space to T1w:
Not sure if we really want to address this, I haven't investigated yet how many images this affects.
If we want to address this, it could be possible to add the missing part of the segmentation since we can know the minimum index of the softseg in T1w space.
The text was updated successfully, but these errors were encountered: