I’ve been trying to calculate the bin width for fixed bin numbers. However, some PET data range were fluctuating. Example the minimum SUV = 3274.76, and the maximum = 14063.3.
I looked to pyradiomics recommendations and they mentioned that: “we still recommend a fixed bin width, but with additional pre-processing (e.g. normalization) to ensure better comparability of gray values”.
I tried ( PETDICOM) extenstion for PET normalisation, but i’m not sure what is their normalisation range?
In slicer, this extension create two files: 1- standardised_uptake_value_body_weight 2- SUVBW.
they look similar(not sure what’s the different).
After normalisation, I’ll calculate the bin width as (max-min)/ desired number of bins
Do you think this way make sense?
Thanks for your help,