Documentation/4.1/Modules/PkModeling

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Introduction and Acknowledgements

Extension: PkModeling
Acknowledgments: This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research.
Implementation of the pharmacokinetics modeling was contributed by Yingxuan Zhu and Jim Miller from GE Research.
Author: Yingxuan Zhu, Jim Miller (GE)
Contact: Yingxuan Zhu, <email>zhuyi@ge.com</email>

GE Global Research  
National Alliance for Medical Image Computing (NA-MIC)  

Module Description

PkModeling (Pharmacokinetics Modeling) is to calculate the quantitative parameters from DCE-MRI images. The two major parts of it are:

  • Convert signal intensities to concentration values

This is to conver signal intensities to concentration values. The concentration values will be used to calcualte quantitattive parameters next.

  • Calculate quantitative parameters from concentration values. These parameters include:

Ktrans: volume transfer constant between blood plasma and EES (extracellular-extravascular space) Ve: fractional volume for extracellular space MaxSlope: maximum slope in the time series curve of one voxel AUC: area under the curve, from bolus arrival time to the end time of interval, normalized by AUC of AIF

Use Cases

Tutorials

Panels and their use

PkModeling
  • IO
    • Input:: 4D DCE-MRI data in nrrd; 3D mask in nrrd, showing the location of arterial input function.
    • Output: 4 volumes in nrrd, showing the maps of quantitative parameters. These parameters are ktrans, ve, maximum slope, and area under the curve (AUC).
  • Parameters
    • PkModeling:
      • Concentration calculation:
        • T1 Blood Value
        • T1 Tissue Value
        • Relaxivity Value
        • Signal Gradient Threshold Value
      • Quantitative parameters calculation:
        • F Tolerance: Function value tolerance
        • G Tolerance: Gradient magnitude tolerance
        • X Tolerance: Search space tolerance
        • Epsilon Value: Step
        • MaxIter Value: Maximum number of iterations
        • Hematocrit Value
        • AUC Time Interval Value: Time interval for AUC calculation
    • Acquisition:
      • TR Value: Repetition time,
      • TE Value: Echo time,
      • FA Value: Flip angle,
      • Time Axis: Time series.

Similar Modules

References

  • Knopp MV, Giesel FL, Marcos H et al: Dynamic contrast-enhanced magnetic resonance imaging in oncology. Top Magn Reson Imaging, 2001; 12:301-308.
  • Rijpkema M, Kaanders JHAM, Joosten FBM et al: Method for quantitative mapping of dynamic MRI contrast agent uptake in human tumors. J Magn Reson Imaging 2001; 14:457-463.

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