Tracking of Stem Cells with Magnetic Resonance Imaging

Qun Zhao*
Bioimaging Research Center & Department of Physics, University of Georgia, Athens, GA., USA
Nano-Micro Conference, 2017, 1, 01057
Published Online: 29 October 2017 (Abstract)
DOI:10.11605/cp.nmc2017.01057
Corresponding Author. Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

How to Cite

Citation Information: Qun Zhao, Tracking of Stem Cells with Magnetic Resonance Imaging. Nano-Micro Conference, 2017, 1, 01057 doi: 10.11605/cp.nmc2017.01057

History

Received: 11 May 2017, Accepted: 16 June 2017, Published Online: 29 October 2017

Abstract

Recently various cell therapies have improved outcome of many diseases. A critical component of cell therapies is the ability to track the cells after transplantation. Monitoring a cell’s survival, migration, differentiation, and integration within host tissue is crucial for assessing the safety and efficacy of cellular treatments. In this talk magnetic resonance imaging (MRI) based tracking of stem cells is presented, where cells labeled with superparamagnetic iron oxide (SPIO) nanoparticles can be tracked in a chicken embryo model up to 10 days post transplantation. Nevertheless, SPIO nanoparticles as a T2* contrast agent are usually associated with signal loss in MR images, leading to difficulties for cell tracking. To overcome this problem, a new imaging sequence, SWIFT with water and fat suppression, is introduced. Compared with other conventional pulse sequences, such as spin echo and gradient-recalled echo, the SWIFT approach enhances in vivo mapping of SPIO distribution in tissues, and improves detection sensitivity of SPIO nanoparticles.

Open Access

This article is licensed under a Creative Commons Attribution 4.0 International License. (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
© The Author(s) 2017

 

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