PET-IndiC: PET quantification

3D Slicer extension for quantifying uptake in PET


PET-IndiC is an extension of 3D Slicer that implements calculation of the various quantitative measures given the SUV-corrected PET image series, and a segmented region of interest. The measures calculated by this module include the generic summary statistics measures, such as volume and mean SUV, but also the PET-specific items such as SUV Peak, Total Lesion Glycolysis (TLG) and Standardized Added Metabolic activity (SAM).


Installation: PET-IndiC can be installed as an extension to 3D Slicer via 3D Slicer Extension manager. In addition to the interactive module, the extension includes a command line interface module, QuantitativeIndicesCLI, which can be used in batch mode. The module also includes a plugin for 3D Slicer Segment Statistics module that will be available automatically once the extension is installed.

Documentation: link

Source code: link


  • Fedorov A, Clunie D, Ulrich E, et al. DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research. PeerJ. 2016;4:e2057 link. - this manuscript discusses in detail the quantitative measures calculated by PET-IndiC, and is accompanied by a public dataset containing the calculated features stored in a standard format
  • Beichel RR, Ulrich EJ, Smith BJ, Bauer C, Brown B, Casavant T, Sunderland JJ, Graham MM & Buatti JM. FDG PET based prediction of response in head and neck cancer treatment: Assessment of new quantitative imaging features. PLoS One 14, e0215465 (2019). link - evaluation of predictive potential of the quantitative PET biomarkers implemented in PET-IndiC

Grants support

  • U01 CA140206
  • U24 CA180918

Dialogue & Discussion