Monitoring tissue engineering using magnetic resonance imaging.
Document Type
Article
Publication Title
Journal of Bioscience and Bioengineering
ISSN
1347-4421
Volume
106
Issue
6
DOI
10.1263/jbb.106.515
First Page
515
Last Page
527
Publication Date
12-1-2008
Abstract
Assessment of tissue regeneration is essential to optimize the stages of tissue engineering (cell proliferation, tissue development and implantation). Optical and X-ray imaging have been used in tissue engineering to provide useful information, but each has limitations: for example, poor depth penetration and radiation damage. Magnetic resonance imaging (MRI) largely overcomes these restrictions, exhibits high resolution (approximately 100 microm) and can be applied both in vitro and in vivo. Recently, MRI has been used in tissue engineering to generate spatial maps of tissue relaxation times (T(1), T(2)), water diffusion coefficients, and the stiffness (shear moduli) of developing engineered tissues. In addition, through the use of paramagnetic and superparamagnetic contrast agents, MRI can quantify cell death, assess inflammation, and visualize cell trafficking and gene expression. After tissue implantation MRI can be used to observe the integration of a tissue implant with the surrounding tissues, and to check for early signs of immune rejection. In this review, we describe and evaluate the growing role of MRI in the assessment of tissue engineered constructs. First, we briefly describe the underlying principles of MRI and the expected changes in relaxation times (T(1), T(2)) and the water diffusion coefficient that are the basis for MR contrast in developing tissues. Next, we describe how MRI can be applied to evaluate the tissue engineering of mesenchymal tissues (bone, cartilage, and fat). Finally, we outline how MRI can be used to monitor tissue structure, composition, and function to improve the entire tissue engineering process.
Recommended Citation
Xu, H.,
Othman, S. F.,
&
Magin, R. L.
(2008).
Monitoring tissue engineering using magnetic resonance imaging..
Journal of Bioscience and Bioengineering, 106(6), 515–527.
DOI: 10.1263/jbb.106.515
https://scholarlycommons.pacific.edu/soecs-facarticles/11