|
 |
|
Selected Models
|
- 1-,2-,3-Tissue compartments
- Logan, Patlak plots
- Non-linear models
- Model with 2 input curves
- Multi-injection models
- Many different reference models
- Cardiac models with double-spillover correction
- Bolus optimization
- over 40 configurations
|
|
|
 |
|
| General Kinetic Modeling Tool (PKIN) |
- Time-activity data analysis by model fitting
- Comprehensive set of models including compartment,
non-compartment and reference models
- Simulation of studies for known kinetics
- Monte Carlo simulations to investigate estimation stability
|
 Brochure | User Guide |
[ Case Gallery - Oncology] |
|
|
| Understanding of Tracers Requires Kinetic Modeling. Images in Nuclear Medicine represent the average tracer concentration during the acquisition interval. This uptake of tracer is dynamic in nature and depends on the tracer kinetics with respect to a given tissue. Only after characterizing this kinetics can the significance of the images really be appreciated. Models have successfully been employed for the analysis of tracer kinetics by specialized researchers since many years. The present PMOD modeling tool gives an easy and intuitive access to the wealth of developed methods to a broader community. |
|
| Supports Comprehensive and Intuitive Model-based Data Analysis. Blood and time-activity data of tissue regions can easily be imported into the modeling tool, even directly from the VOI tool. More than 40 model configurations are available to be fitted to the data. They allow for testing models of increasing complexity and cross-verifying result parameters with different methods. The reliability of the found parameters is an important issue. It can be improved by using common parameters in a multi-region fit. Monte Carlo simulations and sensitivity functions help studying the parameter reliability. All results can readily be exported for statistical analysis. |
|
| Educates in Kinetics and Generates Simulation Data. Given the instantaneous tracer concentration in blood plasma and a specific kinetics, the expected tracer concentration in tissue is immediately displayed. The impact of one parameter on the outcome can thus easily be visualized and understood. Similarly, synthetic uptake data can be generated and analyzed with different models to assess the impact of model simplifications. To assess pixel-wise quantification methods, synthetic imaging studies can be generated wherein each pixel represents a different kinetic parameter combination.v |
|
| Selected Fitting Options |
- Optional parameter restrictions
- Selective parameter enabling
- Multi-region fit with parameter coupling
- Fitting models to the input curve
- Fitting blood and kinetic parameters at the same time
|
- Weighted fitting
- Batch fitting with report generation
- Masking of fit range
|
|
|
Products 
General Kinetic Modeling]
