Quantifying NMR relaxation correlation and exchange in articular cartilage with time domain analysis
dc.contributor.author | Mailhiot, Sarah E. | |
dc.contributor.author | Zong, Fangrong | |
dc.contributor.author | Maneval, James E. | |
dc.contributor.author | Galvosas, Petrik | |
dc.contributor.author | Seymour, Joseph D. | |
dc.date.accessioned | 2018-04-06T17:04:46Z | |
dc.date.available | 2018-04-06T17:04:46Z | |
dc.date.issued | 2018-02 | |
dc.description.abstract | Measured nuclear magnetic resonance (NMR) transverse relaxation data in articular cartilage has been shown to be multi-exponential and correlated to the health of the tissue. The observed relaxation rates are dependent on experimental parameters such as solvent, data acquisition methods, data analysis methods, and alignment to the magnetic field. In this study, we show that diffusive exchange occurs in porcine articular cartilage and impacts the observed relaxation rates in T1-T2 correlation experiments. By using time domain analysis of T2-T2 exchange spectroscopy, the diffusive exchange time can be quantified by measurements that use a single mixing time. Measured characteristic times for exchange are commensurate with T1 in this material and so impacts the observed T1 behavior. The approach used here allows for reliable quantification of NMR relaxation behavior in cartilage in the presence of diffusive fluid exchange between two environments. | en_US |
dc.identifier.citation | Mailhiot SE, F Zong, JE Maneval, RK June, P Galvosas, JD Seymour, “Quantifying NMR relaxation correlation and exchange in articular cartilage with time domain analysis,” Journal of Magnetic Resonance. February 2018; 287:82-90. doi: 10.1016/j.jmr.2017.12.014. | en_US |
dc.identifier.issn | 1090-7807 | |
dc.identifier.uri | https://scholarworks.montana.edu/handle/1/14488 | |
dc.title | Quantifying NMR relaxation correlation and exchange in articular cartilage with time domain analysis | en_US |
dc.type | Article | en_US |
mus.citation.extentfirstpage | 82 | en_US |
mus.citation.extentlastpage | 90 | en_US |
mus.citation.journaltitle | Journal of Magnetic Resonance | en_US |
mus.citation.volume | 287 | en_US |
mus.data.thumbpage | 6 | en_US |
mus.identifier.category | Engineering & Computer Science | en_US |
mus.identifier.doi | 10.1016/j.jmr.2017.12.014 | en_US |
mus.relation.college | College of Engineering | en_US |
mus.relation.department | Center for Biofilm Engineering. | en_US |
mus.relation.department | Chemical & Biological Engineering. | en_US |
mus.relation.department | Chemical Engineering. | en_US |
mus.relation.researchgroup | Center for Biofilm Engineering. | en_US |
mus.relation.university | Montana State University - Bozeman | en_US |
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