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Optimization of a Multifrequency Magnetic Resonance Elastography Protocol for the Human Brain

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单位: [1]Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ [2]Department of Bioengineering, Stanford University, Stanford, CA [3]Department of Biomedical Engineering, University of Arizona, Tucson, AZ [4]Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China [5]Department of Radiology, Stanford University, Stanford, CA [6]Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY
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关键词: Brain viscoelasticity multifrequency magnetic resonance elastography

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BACKGROUND AND PURPOSE: The brain's stiffness measurements from magnetic resonance elastography (MRE) strongly depend on actuation frequencies, which makes cross-study comparisons challenging. We performed a preliminary study to acquire optimal sets of actuation frequencies to accurately obtain rheological parameters for the whole brain (WB), white matter (WM), and gray matter (GM). METHODS: Six healthy volunteers aged between 26 and 72 years old went through MRE with a modified single-shot spin-echo echo planar imaging pulse sequence embedded with motion encoding gradients on a 3T scanner. Frequency-independent brain material properties and best-fit material model were determined from the frequency-dependent brain tissue response data (20 -80 Hz), by comparing four different linear viscoelastic material models (Maxwell, Kelvin-Voigt, Springpot, and Zener). During the material fitting, spatial averaging of complex shear moduli (G*) obtained under single actuation frequency was performed, and then rheological parameters were acquired. Since clinical scan time is limited, a combination of three actuation frequencies that would provide the most accurate approximation and lowest fitting error was determined for WB, WM, and GM by optimizing for the lowest Bayesian information criterion (BIC). RESULTS: BIC scores for the Zener and Springpot models showed these models approximate the multifrequency response of the tissue best. The best-fit frequency combinations for the reference Zener and Springpot models were identified to be 30-60-70 and 30-40-80 Hz, respectively, for the WB. CONCLUSIONS: Optimal sets of actuation frequencies to accurately obtain rheological parameters for WB, WM, and GM were determined from shear moduli measurements obtained via 3-dimensional direct inversion. We believe that our study is a first-step in developing a region-specific multifrequency MRE protocol for the human brain.

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出版当年[2018]版:
大类 | 4 区 医学
小类 | 4 区 临床神经病学 4 区 神经成像 4 区 核医学
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 核医学 4 区 临床神经病学 4 区 神经成像
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出版当年[2017]版:
Q3 CLINICAL NEUROLOGY Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q3 NEUROIMAGING
最新[2023]版:
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q3 CLINICAL NEUROLOGY Q3 NEUROIMAGING

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2017版] 出版当年五年平均[2013-2017] 出版前一年[2016版] 出版后一年[2018版]

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第一作者单位: [1]Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ [6]Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY [*1]Department of Mechanical Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, McLean Hall, Room 525, Hoboken, NJ 07030
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通讯机构: [1]Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ [6]Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY [*1]Department of Mechanical Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, McLean Hall, Room 525, Hoboken, NJ 07030
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