A phantom system for assessing the effects of membrane lipids on water proton relaxation

Oshrat Shtangel1, Aviv A Mezer1

  • 1Edmond and Lily Safra Center for Brain Sciences, Hebrew University of Jerusalem, Israel.

NMR in Biomedicine
|January 4, 2020
PubMed

Insights

Researchers developed a novel liposome phantom system to precisely measure how membrane lipids affect quantitative MRI (qMRI) parameters. This tool aids in understanding brain lipid changes in health and disease.

Area of Science:

  • Neuroimaging
  • Biophysics
  • Biochemistry

Background:

  • Quantitative MRI (qMRI) non-invasively measures brain structure using quantifiable units.
  • qMRI parameters reflect tissue composition, notably myelin content.
  • Quantifying specific molecular contributions to MRI signals remains challenging.

Purpose of the Study:

  • To develop and validate a liposome phantom system for evaluating membrane lipid contributions to qMRI parameters.
  • To model the human brain's bilayer lipid membrane using abundant brain lipids.
  • To assess the phantom's ability to estimate multiple qMRI parameters under clinical conditions.

Main Methods:

  • Utilized a hydration-dehydration dry film technique to create liposomes from abundant human brain lipids.
  • Applied clinically available qMRI techniques (PD, T1, T2, T2*, Magnetization Transfer) with bias corrections.
  • Measured phantom water fraction (normalized PD) and compared phantom reproducibility with in vivo human brain scans.

Main Results:

  • The phantom system reliably estimated qMRI parameters for various lipid compositions using a clinical MRI scanner.
  • Accurate measurement of phantom sample water fraction (normalized PD) was achieved.
  • Reproducibility of qMRI estimations in the phantom was comparable to in vivo human brain scans.

Conclusions:

  • A biologically relevant, controllable liposome phantom system for qMRI analysis was successfully created.
  • The system enables measurement of membrane lipid contributions to qMRI parameters under in vivo relevant conditions.
  • This model system can investigate lipidomic changes in normal and pathological brain states.

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