Introduction to qMRLab: An Open-Source Tool for Quantitative MR Image Analysis
Speaker: Mathieu Boudreau, PhD
In this seminar, viewers will introduce qMRLab, an open-source software designed for quantitative MR image analysis. The primary goal with qMRLab is to provide the research community with an intuitive tool for data fitting, plotting, simulation, and protocol optimization across various quantitative MRI models. The seminar will also feature examples from a quantitative MRI mOOC (mini Open Online Course) being developed at NeuroPoly, which leverages the NeuroLibre platform for interactive and reproducible preprints. This course aims to enhance participants' understanding of qMRLab’s applications in research.
Learning Objectives:
Understand the key features and capabilities of qMRLab.
Learn how to apply qMRLab for data analysis in your own research projects.
Explore the modular framework of qMRLab and learn how to contribute new modules.
Gain insights into using the NeuroLibre platform for interactive and reproducible research.
Biography :
Mathieu Boudreau, PhD, is a Research Associate at Polytechnique Montreal, specializing in the development of quantitative MRI techniques for neurological and respiratory diseases such as multiple sclerosis and emphysema. With over 15 years of experience, Dr. Boudreau has contributed to advancing the field of MRI through open-source software development, scientific outreach, and innovative research methodologies. His work at the intersection of physics, medical imaging, and biomedical engineering has led to the creation of tools that empower researchers to conduct more accurate and reproducible studies. In addition to his research, Dr. Boudreau serves as Deputy Editor for Scientific Outreach of Magnetic Resonance in Medicine (MRM) and Lead Editor for MRM Highlights, which features interviews with authors of MRM publications that demonstrate strong reproducible research practices.