Three-dimensional fast single-point macromolecular proton fraction mapping of the human brain at 0.5 Teslaстатья

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1. Полный текст 45553-PB3-9242-R2.pdf 1,6 МБ 29 июня 2020 [nico-06-11]

[1] Three-dimensional fast single-point macromolecular proton fraction mapping of the human brain at 0.5 tesla / N. V. Anisimov, O. S. Pavlova, Y. A. Pirogov, V. L. Yarnykh // Quantitative imaging in medicine and surgery. — 2020. — Vol. 10, no. 7. — P. 1441–1449. Fast single-point macromolecular proton fraction (MPF) mapping is a recent magnetic resonance imaging (MRI) method enabling quantitative assessment of myelin content in neural tissues. To date, the reported technical implementations of MPF mapping utilized high-field MRI equipment (1.5 T or higher), while low-field applications might pose challenges due to signal-to-noise ratio (SNR) limitations and short T1. This study aimed to evaluate the feasibility of MPF mapping of the human brain at 0.5 T. The three-dimensional MPF mapping protocol was implemented according to the single-point syntheticreference method, which includes three spoiled gradient-echo sequences providing proton density, T1, and magnetization transfer contrast weightings. Whole-brain MPF maps were obtained from three healthy volunteers with spatial resolution of 1.5×1.5×2 mm3 and the total scan time of 19 minutes. MPF values were measured in a series of white and gray matter structures and compared with literature data for 3 T magnetic field. MPF maps enabled high contrast between white and gray matter with notable insensitivity to paramagnetic effects in iron-rich structures, such as globus pallidus, substantia nigra, and dentate nucleus. MPF values at 0.5 T appeared in close agreement with those at 3 T. This study demonstrates the feasibility of fast MPF mapping with low-field MRI equipment and the independence of brain MPF values of magnetic field. The presented results confirm the utility of MPF as an absolute scale for MRI-based myelin content measurements across a wide range of magnetic field strengths and extend the applicability of fast MPF mapping to inexpensive low-field MRI hardware. [ DOI ]

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