Closed pinamarco closed 1 year ago
Hi
this seems to have worked ok. Currently, STIR indeed writes out all these warnings as it parses only minimal information from the .n.hdr . This works for the mMR, but probably no other Siemens scanner.
https://github.com/UCL/STIR/pull/631 parses much more and does some consistency checks, so most of these warnings will disappear once that is merged (and you'd rebuild STIR and SIRF ).
Thank you very much.
By looking at the pull request that you've mentioned https://github.com/UCL/STIR/pull/631 I've tried to compare the detector efficiencies that I get from STIR for the Siemens mCT (model 1104) scanner with the inverse of the normalization matrix that I get as an output when doing the reconstruction with e7tools and I noticed some differences that I report in the attached images. After having rescaed the values between 0 and 1, It seems that there is a slight shift between the two by looking at the coronal plane and there are also differences in the transverse and saggital planes. (I am not sure about the names of the planes, it's just to match the ones showed in https://github.com/UCL/STIR/pull/631)
Hi, if I understand this correctly, you've used the branch in https://github.com/UCL/STIR/pull/631 to create norm factors for your mCT. That's great, but could you please add the above info to that PR then. It doesn't have anything to do with SIRF-Exercises. Ideally add some code there on how you extracted the planes displayed here, just to avoid confusion.
Okay, sorry for the mistake
no problem. We realise one of the hardest things with SIRF is to know where the problem is, and where to report it!
Hello everyone,
I am trying to run the notebook "/notebooks/PET/reconstruct_measured_data.ipynb" but when creating the Acquisition Sensitivity Model I get the warnings that I add at the end of this text, as it seems that it does not understand a single line of the header file. I tried both to use and not to use the convertSiemensInterfileToSTIR.sh script but anything changes.
Another point: in spite of the warnings, I still obtain a sinogram data with the detection efficiencies (in the picture attached) when I run the next cell with the "unnormalise" function but now I don't know if those are only caused by the geometry defined in the acquisition data object or if it somehow reads in the normalization file, even if it returns all those warnings.
Thanks in advance for the help.
Warnings: " WARNING: KeyParser warning: unrecognized keyword: %comment
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