Documentation/4.1/Modules/PkModeling

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 Calculate quantitative parameters from concentration values

Panels and their use

Brain mask as contour

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 Parameters from 4D data: TRValue: Repetition time, TEValue: Echo time, FAValue: Flip angle, TimeAxis: Time series. Parameters from user input: Concentration calculation: T1BloodValue: T1 blood value T1TissueValue: T1 tissue value RelaxivityValue: Relaxivity value S0GradValue: Signal gradient threshold value Quantitative parameters calculation: FTolerance: Function value tolerance GTolerance: Gradient magnitude tolerance XTolerance: Search space tolerance Epsilon: Step MaxIter: Maximum number of iterations Hematocrit AUCTimeInterval: Time interval for AUC calculation