Optimization of a Multifrequency Magnetic Resonance Elastography Protocol for the Human Brain.
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 rheo...
| Publicado en: | Journal of Neuroimaging Vol. 29; no. 4; pp. 440 - 447 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
Jul/Aug2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137323124&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137323124 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10512284 L2W jtl: Journal of Neuroimaging issn: 10512284 maglogo: Y pubinfo: dt: Jul/Aug2019 vid: 29 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 137323124 137323124 NLM31056818 137323124 10.1111/jon.12619 NLM31056818 137323124 ppf: 440 ppct: 7 formats: tig: atl: Optimization of a Multifrequency Magnetic Resonance Elastography Protocol for the Human Brain. aug: au: Kurt, Mehmet Wu, Lyndia Laksari, Kaveh Ozkaya, Efe Suar, Zeynep M. Lv, Han Epperson, Karla Epperson, Kevin Sawyer, Anne M. Camarillo, David Pauly, Kim Butts Wintermark, Max affil: Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken NJ sug: subj: Magnetic Resonance Imaging Methods Brain Ultrasonography Methods Gray Matter Male Human Research Subjects Female Adult Aged Middle Age Magnetic Resonance Imaging Validation Studies Comparative Studies Evaluation Research Multicenter Studies Scales Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Male Female ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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