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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...

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Related Experiment Video

Updated: May 23, 2026

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

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Adapting the ITK Registration Framework to Fit Parametric Image Models.

Cory Quammen, Russell M Taylor

    The Insight Journal
    |April 14, 2012
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces new classes to the Insight Toolkit (ITK) enabling parametric image modeling within its registration framework. This enhances ITK for applications like sub-resolution microscopy localization.

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    Area of Science:

    • Medical image analysis
    • Computational microscopy
    • Scientific software development

    Background:

    • The Insight Toolkit (ITK) provides robust image registration but lacks parametric model fitting capabilities.
    • Parametric modeling is crucial for advanced applications like sub-resolution molecular localization in fluorescence microscopy.

    Purpose of the Study:

    • To extend the ITK registration framework with parametric image fitting functionality.
    • To enable the fitting of parametric models to image data within ITK.

    Main Methods:

    • Introduced a new base class, itk::ParametricImageSource, defining an interface for parametric image generation.
    • Developed an adapter class, itk::ImageToParametricImageSourceMetric, to integrate parametric sources into the ITK registration framework.
    • Presented an example adapter enabling itk::GaussianImageSource for image fitting.

    Main Results:

    • Successfully demonstrated the fitting of a 2D Gaussian function to a generated image using the new classes.
    • Validated the integration of parametric image sources within the ITK registration pipeline.
    • Showcased the capability to fit parametric models to image data.

    Conclusions:

    • The new ITK classes successfully extend the registration framework to support parametric image fitting.
    • This enhancement addresses a critical need for applications requiring precise model-based image analysis, such as in advanced microscopy.
    • The developed framework provides a flexible and extensible solution for parametric image modeling in scientific imaging.