moon
(Moon Kim)
February 2, 2023, 9:55am
1
Hi,
when we import PET DICOM images to the Imfusionlabel software, it does not display the correct standard uptake values (SUV).
There are available codes for the SUV correction on github using values from dicom header information e.g.:
function [SUVmap] = computeSUVmap(rawPET,dicomH)
% -------------------------------------------------------------------------
% function [SUVmap] = computeSUVmap(rawPET,dicomH)
% -------------------------------------------------------------------------
% DESCRIPTION:
% This function computes the SUVmap of a raw input PET volume. It is
% assumed that the calibration factor was applied beforehand to the PET
% volume (e.g., rawPET = rawPET*RescaleSlope + RescaleIntercept).
% -------------------------------------------------------------------------
% INPUTS:
% - rawPET: 3D array representing the PET volume in raw format.
% - dicomH: DICOM header of one of the corresponding slice of 'rawPET'.
% -------------------------------------------------------------------------
% OUTPUTS:
% - SUVmap: 'rawPET' converted to SUVs (standard uptake values).
% -------------------------------------------------------------------------
% AUTHOR(S):
% - Martin Vallieres <mart.vallieres@gmail.com>
% - Issam El Naqa <ielnaqa@med.umich.edu>
% - CERR development team <http://www.cerr.info/>
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Kind,
Moon
mueller
(Markus Müller)
February 3, 2023, 9:56am
2
Hi Moon,
I created an internal issue for this feature (SUITE-3122).
We already have support for Real World Value Mapping Sequences. Are those related? Could you maybe point us to some example data?
Best,
Markus
moon
(Moon Kim)
February 3, 2023, 10:43am
4
Hi Markus,
thank you for your reply. I dont know what real world value mapping is, but I dont think it is related. Here you will find one example data. If the values are shown correctly the voxel values in the liver should be in the range of 5-15.
Can you provide your email address than I can share a example data with you.
Kind regards,
Moon