An open source image processing method to quantitatively assess tissue growth after non-invasive magnetic resonance imaging in human bone marrow stromal cell seeded 3D polymeric scaffolds.

Autor: Leferink AM; Department of Tissue Regeneration, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands., Fratila RM; NeuroImaging Group, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands., Koenrades MA; Department of Tissue Regeneration, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands., van Blitterswijk CA; Department of Tissue Regeneration, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands; Department of Complex Tissue Regeneration, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands., Velders A; Laboratory of SupraMolecular Chemistry and Technology of MESA - Institute for Nanotechnology, University of Twente, Enschede, The Netherlands; Department of BioNanotechnology, Agrotechnology and Food Sciences, Wageningen University, Wageningen, The Netherlands., Moroni L; Department of Tissue Regeneration, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands; Department of Complex Tissue Regeneration, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2014 Dec 12; Vol. 9 (12), pp. e115000. Date of Electronic Publication: 2014 Dec 12 (Print Publication: 2014).
DOI: 10.1371/journal.pone.0115000
Abstrakt: Monitoring extracellular matrix (ECM) components is one of the key methods used to determine tissue quality in three-dimensional (3D) scaffolds for regenerative medicine and clinical purposes. This is even more important when multipotent human bone marrow stromal cells (hMSCs) are used, as it could offer a method to understand in real time the dynamics of stromal cell differentiation and eventually steer it into the desired lineage. Magnetic Resonance Imaging (MRI) is a promising tool to overcome the challenge of a limited transparency in opaque 3D scaffolds. Technical limitations of MRI involve non-uniform background intensity leading to fluctuating background signals and therewith complicating quantifications on the retrieved images. We present a post-imaging processing sequence that is able to correct for this non-uniform background intensity. To test the processing sequence we investigated the use of MRI for in vitro monitoring of tissue growth in three-dimensional poly(ethylene oxide terephthalate)-poly(butylene terephthalate) (PEOT/PBT) scaffolds. Results showed that MRI, without the need to use contrast agents, is a promising non-invasive tool to quantitatively monitor ECM production and cell distribution during in vitro culture in 3D porous tissue engineered constructs.
Databáze: MEDLINE
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