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Open source code for the generation of digital reference objects for dynamic contrast-enhanced MRI analysis software

Andrew B Gill1, Ferdia A Gallagher1, Martin J Graves1

  • 1Department of Radiology, University of Cambridge, Cambridge, UK.

The British Journal of Radiology
|May 16, 2023
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Summary
This summary is machine-generated.

Researchers developed customizable digital reference objects (DROs) to validate dynamic contrast-enhanced MRI (DCE-MRI) software. The new method ensures accurate kinetic model analysis, improving standardization in medical imaging.

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Area of Science:

  • Medical Imaging
  • Computational Biology
  • Biophysics

Background:

  • Dynamic contrast-enhanced MRI (DCE-MRI) analysis relies on various kinetic models, but standardization and variability issues affect metric accuracy.
  • Existing digital reference objects (DROs) for DCE-MRI kinetic model validation cover only a limited range of models.

Purpose of the Study:

  • To address the gap in DRO availability for DCE-MRI kinetic model analysis.
  • To develop a method for generating customized DROs applicable to any kinetic model.

Main Methods:

  • MATLAB-based modular code was developed to generate customizable DROs.
  • A plug-in architecture allows for the integration of different kinetic models.
  • Generated DROs were tested using three commercial and open-source DCE-MRI analysis packages.

Main Results:

  • The developed DROs demonstrated excellent agreement (>98% concordance correlation coefficient) with ground-truth values across five tested kinetic models.
  • Testing on independent software packages confirmed the reliability and correctness of the DRO generation code.

Conclusions:

  • The developed DROs provide a robust tool for validating DCE-MRI software packages for kinetic model analysis.
  • This approach enhances standardization and accuracy in DCE-MRI data interpretation.
  • The method is extensible to incorporate B1 mapping for higher field strength applications.