Difference between revisions of "Documentation/Nightly/Modules/PETLiverUptakeMeasurementCLI"
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− | Tool for automated measurement of liver uptake in SUV normalized FDG-18 | + | Tool for automated measurement of liver uptake in SUV normalized whole-body FDG-18 PET scans. The tool automatically identifies a spherical region inside of the liver and measures mean, standard deviation and median uptake in the identified region. In the majority of cases the user only needs to specify the input PET scan. However, to be able to deal with unusual cases where standard parameters regarding the liver's location or appearance are not applicable, the tool allows the user to provide additional guidance to the algorithm. |
[[File:PETLiverUptakeMeasurementWithModel.png|800px|Screenshot]] | [[File:PETLiverUptakeMeasurementWithModel.png|800px|Screenshot]] | ||
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− | {{documentation/{{documentation/version}}/module-section|Tutorial - | + | {{documentation/{{documentation/version}}/module-section|Tutorial - Fully Automated Liver Uptake Measurement}} |
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+ | Step 1) Load SUV normalized whole-body FDG-18 PET scan using the [[Documentation/{{documentation/version}}/Modules/DICOMPETSUVPlugin|DICOM PET SUV Plugin]] which is part of the UIowa QIN [[Documentation/{{documentation/version}}/Extensions/PETDICOM|PET DICOM Extension]]. | ||
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+ | Step 2) Go to the “PET Liver Uptake Measurement” module. | ||
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+ | Step 3) Select the loaded PET scan as "Input Volume". | ||
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+ | Step 4) (Optional) Under "Output Volume" select "Create new LabelMapVolume". If an output volume is selected, the tool will visualize the identified liver reference region which is utilized for uptake measurement. | ||
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+ | Step 5) Click "Apply". | ||
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+ | Step 6) In section "Measurements" read the measured "Mean", "Standard Deviation" and "Median" SUV values of the identified liver reference region. | ||
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{{documentation/{{documentation/version}}/module-section|Tutorial - Liver Uptake Measurement with User Guidance}} | {{documentation/{{documentation/version}}/module-section|Tutorial - Liver Uptake Measurement with User Guidance}} |
Revision as of 19:03, 25 July 2016
Home < Documentation < Nightly < Modules < PETLiverUptakeMeasurementCLI
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Introduction and Acknowledgements
Acknowledgments:
The UIowa QIN PET Liver Uptake Measurement tool was funded in part by Quantitative Imaging to Assess Response in Cancer Therapy Trials NIH grant U01-CA140206 and Quantitative Image Informatics for Cancer Research (QIICR) NIH grant U24 CA180918. License: Slicer License | |||||||
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Module Description
Tool for automated measurement of liver uptake in SUV normalized whole-body FDG-18 PET scans. The tool automatically identifies a spherical region inside of the liver and measures mean, standard deviation and median uptake in the identified region. In the majority of cases the user only needs to specify the input PET scan. However, to be able to deal with unusual cases where standard parameters regarding the liver's location or appearance are not applicable, the tool allows the user to provide additional guidance to the algorithm.
Tutorial - Fully Automated Liver Uptake Measurement
Step 1) Load SUV normalized whole-body FDG-18 PET scan using the DICOM PET SUV Plugin which is part of the UIowa QIN PET DICOM Extension.
Step 2) Go to the “PET Liver Uptake Measurement” module.
Step 3) Select the loaded PET scan as "Input Volume".
Step 4) (Optional) Under "Output Volume" select "Create new LabelMapVolume". If an output volume is selected, the tool will visualize the identified liver reference region which is utilized for uptake measurement.
Step 5) Click "Apply".
Step 6) In section "Measurements" read the measured "Mean", "Standard Deviation" and "Median" SUV values of the identified liver reference region.
Tutorial - Liver Uptake Measurement with User Guidance
References
- C. Bauer, S. Sun, W. Sun, J. Otis, A. Wallace, B. J. Smith, J. J. Sunderland, M. M. Graham, J. M. Buatti and R. R. Beichel "Automated measurement of uptake in cerebellum, liver, and aortic arch in full-body FDG PET/CT scans", in Medical Physics, 2012. http://dx.doi.org/10.1118/1.4711815