A primer on in vivo cell tracking using MRI

Hai-Ling Margaret Cheng1,2,3

  • 1Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.

Frontiers in Medicine
|June 16, 2023
PubMed

Insights

Magnetic resonance imaging (MRI) enables non-invasive cell tracking with high resolution and deep penetration. This review covers established and emerging MRI methods for diverse applications like cancer and stem cell research.

Area of Science:

  • Biomedical Imaging
  • Cellular Biology
  • Medical Technology

Background:

  • In vivo cell tracking is crucial for understanding biological processes and disease progression.
  • Magnetic resonance imaging (MRI) offers unique advantages for non-invasive cell tracking, including high spatial resolution, deep tissue penetration, and 3D visualization without ionizing radiation.
  • Decades of advancements in contrast agents and imaging physics have yielded diverse MRI probes and methods for cell tracking.

Purpose of the Study:

  • To review established and emerging in vivo cell tracking approaches using MRI.
  • To describe various contrast generation mechanisms for MRI cell tracking.
  • To analyze the advantages, limitations, and challenges of different MRI cell tracking techniques.

Main Methods:

  • Comprehensive review of literature on MRI cell tracking techniques.
  • Analysis of contrast agent chemistry and imaging physics.
  • Discussion of established and emerging MRI cell tracking methodologies.
  • Quantitative comparisons of different approaches where possible.

Main Results:

  • MRI offers significant advantages for non-invasive cell tracking, including high resolution, unlimited depth, 3D visualization, no ionizing radiation, and long-term monitoring.
  • A wide array of MRI probes and methods have been developed over three decades.
  • Established and emerging MRI cell tracking approaches utilize diverse contrast generation mechanisms.

Conclusions:

  • MRI is a powerful tool for non-invasive cell tracking with broad applications.
  • Key application areas include tracking cancer metastasis, immunotherapy, and stem cell regeneration.
  • Further development is needed to address persistent challenges and optimize MRI cell tracking for clinical translation.