Dynamic positron emission tomography (PET) analysis
Dynamic PET is designed for voxelwise analysis of reconstructed dynamic positron emission tomography (PET) scans, and also supports regional analysis.
Dynamic PET provides a command line interface (CLI) for easy image processing and also a Python API with greater flexibility.
Methods implemented in the CLI include:
- Denoising
- HighlY constrained backPRojection method constraining the backprojections to Local Regions of interest (HYPR-LR)
- Reference tissue-based modeling
- Standardized Uptake Value Ratio (SUVR)
- Simplified Reference Tissue Model (SRTM)
Several implementations of estimating SRTM parameters are available:
- Nonlinear optimization, as described by Lammertsma and Hume, Neuroimage (1996)
- Two-step SRTM (SRTM2), as described by Wu and Carson, J Cereb Blood Flow Metab (2002)
- Linear Regression with Spatial Constraint (LRSC), as described by Zhou et al., Neuroimage (2003)
Before installing and running, check the tool’s requirements.
NMMItools 