3D cine displacement‐encoded MRI of pulsatile brain motion

Soellinger, Michaela; Rutz, Andrea K.; Kozerke, Sebastian; Boesiger, Peter

doi:10.1002/mrm.21802

Cited by 75 publications

(79 citation statements)

References 33 publications

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“…In the third experiment, induced volumetric strain amplitudes were compared between a relaxed state and a state of abdominal muscle contraction (AMC), in which the venous blood flow from the brain to the heart was hindered, such that intracranial pressure increased. These experiments extend research on 3D displacement MRI [90] and 3D cerebral MRE [27,62,80].…”

Section: Introductionsupporting

confidence: 82%

“…Numerous studies have utilized MRI to investigate patterns of cerebral fluid flow and the displacement of brain parenchyma driven by cardiac pulsation [19,29,48,74,90,91,98]. According to these works, the brain responds to the arrival of the cardiac pulse wave by a cranio-caudal 2 motion, accompanied by a simultaneous medio-lateral 3 shift [29], as sketched in fig.…”

Section: Introductionmentioning

confidence: 99%

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Compression-sensitive magnetic resonance elastography

et al. 2013

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ZusammenfassungResults illustrate that compression-sensitive MRE is capable of quantifying volumetric strain in phantoms and in human organs. It was found that volumetric strain was sensitive toward pressure changes associated with different physiological states, whereas shear strain remained constant.In an additional study, pulsation of the human brain, driven by the heart cycle, was used as the actuation source instead of the external vibration generator. Volumetric strain velocity was tracked over the cardiac cycle. Results indicate local expansion of brain parenchyma upon the arrival of the arterial pulse wave, followed by a slow return to the initial state during the diastolic phase.Numerical values for the pressure wave modulus M were calculated from measured volumetric strain through inversion of the pressure wave equation. Measurement noise was identified as the primary effect causing a severe underestimation of M .

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Section: Introductionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Compression-sensitive magnetic resonance elastography

et al. 2013

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“…heartbeat,~1 Hz), respiration (~0.3 Hz), low frequency (LF) (Mayer wave) (~0.1 Hz) and very low frequency (VLF) oscillations (b0.1 Hz) of different physiological origin (Cheng et al, 2012;Julien, 2006;Obrig et al, 2000a;Phillip et al, 2012;Reinhard et al, 2006;Tong et al, 2011;Toronov et al, 2000;Trajkovic et al, 2011). Also oscillations in the CSF (Droste and Krauss, 1997;Feinberg and Mark, 1987;Friese et al, 2004;Gupta et al, 2010;Kao et al, 2008;Strik et al, 2002) and even periodic displacements of the brain itself (Enzmann and Pelc, 1992;Feinberg and Mark, 1987;Poncelet et al, 1992;Soellinger et al, 2007Soellinger et al, , 2009) may contribute to the non-evoked signals. Spontaneous hemodynamic oscillations are present in the cerebral and extracerebral compartment (Habermehl et al, 2012b).…”

Section: Classification Of Signal Componentsmentioning

confidence: 99%

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

Scholkmann¹,

Kleiser²,

Metz³

et al. 2014

NeuroImage

1,523

1,394

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This year marks the 20th anniversary of functional near-infrared spectroscopy and imaging (fNIRS/fNIRI). As the vast majority of commercial instruments developed until now are based on continuous wave technology, the aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI. For this purpose we provide an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements. Methodological aspects, algorithms to calculate the concentrations of oxy-and deoxyhemoglobin and approaches for data analysis are also reviewed. From the single-location measurements of the early years, instrumentation has progressed to imaging initially in two dimensions (topography) and then three (tomography). The methods of analysis have also changed tremendously, from the simple modified Beer-Lambert law to sophisticated image reconstruction and data analysis methods used today. Due to these advances, fNIRI has become a modality that is widely used in neuroscience research and several manufacturers provide commercial instrumentation. It seems likely that fNIRI will become a clinical tool in the foreseeable future, which will enable diagnosis in single subjects. This year marks the 20th anniversary of functional near-infrared spectroscopy and imaging (fNIRS/fNIRI). As the vast majority of commercial instruments developed until now are based on continuous wave technology, the aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI. For this purpose we provide an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements. Methodological aspects, algorithms to calculate the concentrations of oxy-and deoxyhemoglobin and approaches for data analysis are also reviewed. From the single-location measurements of the early years, instrumentation has progressed to imaging initially in two dimensions (topography) and then three (tomography). The methods of analysis have also changed tremendously, from the simple modified Beer-Lambert law to sophisticated image reconstruction and data analysis methods used today. Due to these advances, fNIRI has become a modality that is widely used in neuroscience research and several manufacturers provide commercial instrumentation. It seems likely that fNIRI will become a clinical tool in the foreseeable future, which will enable diagnosis in single subjects. Contents

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“…Informed consent for the use of imaging data for research purposes was obtained prior to the study. Three sequences were used: (i) a three-dimensional balanced gradient echo sequence in transverse, sagittal and coronal orientations to reconstruct the whole ventricular geometry, (ii) a retrospectively electrocardiogram-gated, two-dimensional phase-contrast gradient echo sequence in the aqueduct to acquire aqueductal flow, and (iii) a three-dimensional cine displacement encoding using simulated echoes (DENSE) sequence [21] with an eight-channel head coil to obtain brain motion. Displacement encoding for the DENSE sequence was applied in the read-out direction, and the three-dimensional volume was rotated twice by 908 to measure the entire three-dimensional displacement vector field.…”

Section: In Vivo Data Acquisitionmentioning

confidence: 99%

Flow induced by ependymal cilia dominates near-wall cerebrospinal fluid dynamics in the lateral ventricles

Siyahhan

Knobloch

Zélicourt

et al. 2014

J. R. Soc. Interface.

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While there is growing experimental evidence that cerebrospinal fluid (CSF) flow induced by the beating of ependymal cilia is an important factor for neuronal guidance, the respective contribution of vascular pulsation-driven macroscale oscillatory CSF flow remains unclear. This work uses computational fluid dynamics to elucidate the interplay between macroscale and cilia-induced CSF flows and their relative impact on near-wall dynamics. Physiological macroscale CSF dynamics are simulated in the ventricular space using subject-specific anatomy, wall motion and choroid plexus pulsations derived from magnetic resonance imaging. Near-wall flow is quantified in two subdomains selected from the right lateral ventricle, for which dynamic boundary conditions are extracted from the macroscale simulations. When cilia are neglected, CSF pulsation leads to periodic flow reversals along the ventricular surface, resulting in close to zero time-averaged force on the ventricle wall. The cilia promote more aligned wall shear stresses that are on average two orders of magnitude larger compared with those produced by macroscopic pulsatile flow. These findings indicate that CSF flow-mediated neuronal guidance is likely to be dominated by the action of the ependymal cilia in the lateral ventricles, whereas CSF dynamics in the centre regions of the ventricles is driven predominantly by wall motion and choroid plexus pulsation.

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3D cine displacement‐encoded MRI of pulsatile brain motion

Cited by 75 publications

References 33 publications

Compression-sensitive magnetic resonance elastography

Compression-sensitive magnetic resonance elastography

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

Flow induced by ependymal cilia dominates near-wall cerebrospinal fluid dynamics in the lateral ventricles

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