Thick slab reconstruction (TSR) can now be enabled and modified from the slice controllers and slice views! Enabling thick slab reconstruction as well as selection of the composite method (min, max, mean or sum) has been available through the python console . Now these options are available through…

This slice controller is a very good news! How can I use it?

After installing Slicer, are you able to enable “Thick Slab Reconstruction” from the Slicer controller ?

Hello, this is a great feature. Is there a way to remove slabs before exporting a snapshot ? It would be really great, since some details can be hided from the slabs

can i create a lateral cephalometry from skull ct with thick slab ?

Hi, very useful tool! Thanks. However, the slab thickness seems to not work correctly on my data. As you can see in the capture below, the two red lines already cover the whole volume, but the MIP image in the Red view does not really show all vessels. If I increase the interval between the two red…

@ZhsChen can you share the data or reproduce on public data?

Hi Pieper, I just tried on the DZ-MR_1 data in the sample dataset CBCT-MR Head, same problem occurred. In the two captures below, the projection slabes both cover the whole head, but the MIP images are different. [thickness1] [thickness2]

In the two captures above, I expect the two MIPs (in the Red view) to be exactly the same, since in both images the projection slab covers the whole head (the region outside the head has zero or very low value, and will not be projected to the MIPs).

But they are different. This suggests that the real slab used for projection is smaller than the slab between the two red lines.

New feature: Thick slab reconstruction from slice controllers and views

Support

pieper (Steve Pieper (Isomics, Inc.)) February 11, 2025, 2:14pm 10

Can you explain why you think the MIP is incorrect?

2025.02.11 Weekly Meeting

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New feature: Thick slab reconstruction from slice controllers and views

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