State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications

Magalie Viallon1, Victor Cuvinciuc, Benedicte Delattre

  • 1CREATIS, UMR CNRS 5220 - INSERM U1044, INSA de Lyon, Université de Lyon, Lyon, France, magalieviallon@me.com.

Neuroradiology
|April 11, 2015
PubMed

Insights

This review covers advanced magnetic resonance (MR) imaging techniques for brain diseases, focusing on diffusion and perfusion methods. It details their principles, clinical applications, and limitations for neurological pathology investigation.

Area of Science:

  • Neuroimaging
  • Radiology
  • Medical Physics

Background:

  • Magnetic Resonance (MR) imaging is crucial for diagnosing neurological disorders.
  • Advanced MR techniques offer detailed insights into brain structure and function.
  • Understanding these techniques is vital for clinical practice and research.

Purpose of the Study:

  • To review state-of-the-art, clinically available MR techniques for investigating brain diseases.
  • To describe the principles, technical requirements, and clinical utility of diffusion and perfusion imaging.
  • To discuss limitations, artifacts, and solutions for advanced neuroimaging methods.

Main Methods:

  • Review of diffusion imaging techniques: diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI), and diffusion kurtosis imaging (DKI).
  • Review of perfusion imaging techniques: dynamic susceptibility contrast (DSC), arterial spin labeling (ASL), and dynamic contrast enhanced (DCE).
  • Discussion of underlying models, quantitative methods, and three-dimensional (3D) neuroimaging sequences.

Main Results:

  • Detailed explanation of quantitative diffusion and perfusion MR imaging principles and models.
  • Summary of technical requirements for clinical application in neurological pathologies.
  • Overview of advantages, limitations, artifacts, and solutions for various MR techniques.

Conclusions:

  • Advanced MR techniques, including diffusion and perfusion imaging, are essential for understanding, classifying, and monitoring brain diseases.
  • Knowledge of these techniques, their principles, and limitations aids in optimizing neuroimaging protocols.
  • Emerging 3D sequences and new technologies promise further advancements in neuro MR imaging.

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