Difference between revisions of "Documentation/4.0/Modules/PETStandardUptakeValueComputation"
m (moved Documentation/4.0/Modules/SUVComputation to Documentation/4.0/Modules/ComputeSUVBodyWeight: match name to source directory)
Revision as of 23:00, 22 November 2011Home < Documentation < 4.0 < Modules < PETStandardUptakeValueComputation
Introduction and Acknowledgements
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website.
Computes the standardized uptake value based on body weight. references gives more details on the algorithm.
Computes the standardized uptake value based on body weight. Takes an input PET image in DICOM and NRRD format (DICOM header must contain Radiopharmaceutical parameters). Produces a CSV file that contains patientID, studyDate, dose, labelID, suvmin, suvmax, suvmean, labelName for each volume of interest. It also displays some of the information as output strings in the GUI, the CSV file is optional in that case. The CSV file is appended to on each execution of the CLI.
This command line module was developed for a special use case in which many different VOIs were specified on the fused structural and PET images; SUV maximum, SUV minimum, SUV mean were computed for each of these labels and the resulting quanitative measures were output to a comma-separated value (csv) file of the user's choosing.
Since various study parameters for the datasets are required for these measurements, a pointer to the DICOM directory is also provided to the computation.
This module does not visualize the functional and structural dataset. Instead, it saves all measurements to the csv file as well as showing the following quantitative measures in Slicer's interface: label name, label value, SUV max, SUV mean, SUV minimum.
Links to tutorials that use this module
Panels and their use
A list of all the panels in the interface, their features, what they mean, and how to use them. For instance:
- The Slicer3 PETCTFusion module formed the basis of this module.
Publications related to this module:
Information for Developers
|Section under construction.|