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Updated: Apr 18, 2026

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

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Published on: January 7, 2019

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

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:

ImageJ Magnetic resonance imaging Open source Perfusion Software tool

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Published on: November 27, 2019

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.