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Development and validation of an open source quantification tool for DSC-MRI studies.

P M Gordaliza1, J M Mateos-Pérez2, P Montesinos1

  • 1Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain.

Computers in Biology and Medicine
|January 26, 2015
PubMed
Summary

A new open-source tool quantifies dynamic susceptibility-weighted contrast-enhanced (DSC) perfusion imaging. This validated ImageJ plugin offers an accessible platform for developing novel quantification methods in MRI perfusion studies.

Keywords:
ImageJMagnetic resonance imagingOpen sourcePerfusionSoftware tool

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Software Development

Background:

  • Lack of open-source tools for dynamic susceptibility-weighted contrast-enhanced (DSC) perfusion studies hinders external development.
  • Need for accessible, license-free platforms for implementing novel quantification methods in MRI perfusion analysis.

Purpose of the Study:

  • To develop and validate an open-source tool for quantifying DSC perfusion studies.
  • To provide a modular ImageJ plugin enabling easy integration of new quantification methods.

Main Methods:

  • Developed a modular ImageJ plugin using Java for DSC perfusion quantification.
  • Validated the tool by comparing its results with a clinical software package using brain tumor patient data.

Main Results:

  • The developed tool successfully quantified perfusion parameters and generated parametric images.
  • Excellent agreement (R(2)>0.8) was achieved when comparing results with a gold-standard tool without gamma-fitting.

Conclusions:

  • An open-source, validated tool for MRI DSC perfusion quantification has been successfully developed.
  • The ImageJ plugin is available with an open-source license, promoting further research and development.