Ultrasound accelerated bone tissue engineering monitored with magnetic resonance microscopy

Jessy J. Moinnes, Neelima Vidula, Nadia Halim, Shadi F. Othman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Tissue engineering has the potential to treat bone loss, but current bone restoration methods, including osteogenesis from mesenchymal stem cells (MSCs), require three to four weeks for bone formation to occur. In this study, we stimulated the formation of engineered bone tissue with low-intensity ultrasound, which has been proven to accelerate bone healing in vivo. One group of engineered bone constructs received ultrasound stimulation 20 minutes per day over a 3-week growth period. We monitored the growth of all the engineered constructs quantitatively and noninvasively using magnetic resonance microscopy (MRM), where the T2 relaxation times of all the constructs were measured, on a weekly basis, using an 11.74 T Bruker spectrometer. Histological and immunocytochemical sections were obtained for all constructs and correlated with the MR results. This study shows that ultrasound can accelerate osteogenesis in vitro for tissue engineered bone, the growth and development of which can be monitored using MRM.

Original languageEnglish (US)
Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages484-488
Number of pages5
DOIs
StatePublished - 2006
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: Aug 30 2006Sep 3 2006

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Conference

Conference28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
CountryUnited States
CityNew York, NY
Period8/30/069/3/06

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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