Clinical high-resolution mapping of the proteoglycan-bound water fraction in articular cartilage of the human knee joint
Autor: | Kyle W. Sexton, Linda Zukley, Richard G. Spencer, David A. Reiter, Christopher M. Bergeron, Mustapha Bouhrara |
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Rok vydání: | 2017 |
Předmět: |
Adult
Cartilage Articular Male Knee Joint Biomedical Engineering Biophysics Partial volume Knee Injuries Stability (probability) Article 030218 nuclear medicine & medical imaging Young Adult 03 medical and health sciences Bayes' theorem 0302 clinical medicine Image Processing Computer-Assisted Humans Knee Radiology Nuclear Medicine and imaging Image resolution Mathematics Aged 80 and over Stochastic Processes Reproducibility Reproducibility of Results Water Bayes Theorem Delayed Gadolinium Enhanced Magnetic Resonance Imaging of Cartilage Anatomy Magnetic Resonance Imaging Analytic element method Proteoglycans Monte Carlo Method human activities 030217 neurology & neurosurgery Biomedical engineering |
Zdroj: | Magnetic Resonance Imaging. 43:1-5 |
ISSN: | 0730-725X |
DOI: | 10.1016/j.mri.2017.06.011 |
Popis: | Purpose We applied our recently introduced Bayesian analytic method to achieve clinically-feasible in-vivo mapping of the proteoglycan water fraction (PgWF) of human knee cartilage with improved spatial resolution and stability as compared to existing methods. Materials and methods Multicomponent driven equilibrium single-pulse observation of T 1 and T 2 (mcDESPOT) datasets were acquired from the knees of two healthy young subjects and one older subject with previous knee injury. Each dataset was processed using Bayesian Monte Carlo (BMC) analysis incorporating a two-component tissue model. We assessed the performance and reproducibility of BMC and of the conventional analysis of stochastic region contraction (SRC) in the estimation of PgWF. Stability of the BMC analysis of PgWF was tested by comparing independent high-resolution (HR) datasets from each of the two young subjects. Results Unlike SRC, the BMC-derived maps from the two HR datasets were essentially identical. Furthermore, SRC maps showed substantial random variation in estimated PgWF, and mean values that differed from those obtained using BMC. In addition, PgWF maps derived from conventional low-resolution (LR) datasets exhibited partial volume and magnetic susceptibility effects. These artifacts were absent in HR PgWF images. Finally, our analysis showed regional variation in PgWF estimates, and substantially higher values in the younger subjects as compared to the older subject. Conclusions BMC-mcDESPOT permits HR in-vivo mapping of PgWF in human knee cartilage in a clinically-feasible acquisition time. HR mapping reduces the impact of partial volume and magnetic susceptibility artifacts compared to LR mapping. Finally, BMC-mcDESPOT demonstrated excellent reproducibility in the determination of PgWF. |
Databáze: | OpenAIRE |
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