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Reliable preparation of agarose phantoms for use in quantitative magnetic resonance elastography. | LitMetric

AI Article Synopsis

  • Agarose phantoms are valuable for brain MRE due to being cost-effective and easy to manage, but inconsistent recipes lead to variability in their mechanical properties.
  • A systematic study identified key factors, like cooling rate and agar concentration, that affect the uniformity and stiffness of these phantoms, allowing for better tailored designs in MRE research.
  • The study also introduced a regression model to predict phantom stiffness and evaluated other important factors such as stability and microstructure, aiming to enhance the accuracy of stiffness measurements in future MRE applications.

Article Abstract

Agarose phantoms are one type of phantom commonly used in developing in vivo brain magnetic resonance elastography (MRE) sequences because they are inexpensive and easy to work with, store, and dispose of; however, protocols for creating agarose phantoms are non-standardized and often result in inconsistent phantoms with significant variability in mechanical properties. Many magnetic resonance imaging (MRI) and ultrasound studies use phantoms, but often these phantoms are not tailored for desired mechanical properties and as such are too stiff or not mechanically consistent enough to be used in MRE. In this work, we conducted a systematic study of agarose phantom creation parameters to identify those factors that are most conducive to producing mechanically consistent agarose phantoms for MRE research. We found that cooling rate and liquid temperature affected phantom homogeneity. Phantom stiffness is affected by agar concentration (quadratically), by final liquid temperature and salt content in phantoms, and by the interaction of these two metrics each with stir rate. We captured and quantified the implied relationships with a regression model that can be used to estimate stiffness of resulting phantoms. Additionally, we characterized repeatability, stability over time, impact on MR signal parameters, and differences in agar gel microstructure. This protocol and regression model should prove beneficial in future MRE development studies that use phantoms to determine stiffness measurement accuracy.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699912PMC
http://dx.doi.org/10.1016/j.jmbbm.2019.05.001DOI Listing

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