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I tested this odf actor with a large dataset and when I tried to load the whole slice of that dataset. It worked perfectly fine. But if I zoom in it becomes distorted.
Output available on : [https://github.com//pull/869]
It is a dataset called setsompop. Please find the Dataset here
Please fit the entire slice using CsaOdfModel and then zoom it.
Also, I would love to see an example from your-side to use the new odf actor with a odf model as the inputs are different from the current odf slicer actor. This might be an input issue!
NOTE
The current version of fury ODF Slicer Actor was smooth and better. I am only adding one slice of data to the proposed odf actor as well.
The current version of fury ODF Slicer Actor does not distort the image as well.
My Observation and Take away
I think it is something related to zoom and the shapes are not getting recalculated once zoomed in more.
We are doing something not right in the calculation implementation as it should be faster than the approach we have in fury.
Let me know if you need any information.
The text was updated successfully, but these errors were encountered:
I tested this odf actor with a large dataset and when I tried to load the whole slice of that dataset. It worked perfectly fine. But if I zoom in it becomes distorted.
Output available on : [https://github.com//pull/869]
It is a dataset called setsompop. Please find the Dataset here
Please fit the entire slice using CsaOdfModel and then zoom it.
Also, I would love to see an example from your-side to use the new odf actor with a odf model as the inputs are different from the current odf slicer actor. This might be an input issue!
NOTE
The current version of fury ODF Slicer Actor was smooth and better. I am only adding one slice of data to the proposed odf actor as well.
The current version of fury ODF Slicer Actor does not distort the image as well.
My Observation and Take away
I think it is something related to zoom and the shapes are not getting recalculated once zoomed in more.
We are doing something not right in the calculation implementation as it should be faster than the approach we have in fury.
Let me know if you need any information.
The text was updated successfully, but these errors were encountered: