A pneumatic phantom for mimicking respiration‐induced artifacts in spinal MRI

Tillieux, Philippe De; Topfer, Ryan; Foias, Alexandru; Leroux, Iris; Maâchi, Imanne El; Leblond, Hugues; Stikov, Nikola; Cohen‐Adad, Julien

doi:10.1002/mrm.26679

Cited by 9 publications

(4 citation statements)

References 14 publications

(17 reference statements)

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“…The ME-GRE sequence is feasible 95 but might require additional averaging 96 , and/or the use of navigator echoes to compensate for respiratory-related ghosting. Protocol optimization could be aided by the use of advanced spinal cord phantoms made of "tissue-like" materials that mimic respiration-related dynamic changes in the B 0 field, such as the one proposed by De Tillieux et al 97 .…”

Section: Thoraco-lumbar Cordmentioning

confidence: 99%

Generic acquisition protocol for quantitative MRI of the spinal cord

et al. 2021

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Quantitative spinal cord (SC) magnetic resonance imaging (MRI) is fraught with challenges, among which is the lack of standardized imaging protocols. Here we present a prospectively harmonized quantitative MRI protocol, which we refer to as the spine generic protocol, for the three main 3T MRI vendors: GE, Philips and Siemens. The protocol provides valuable metrics for assessing SC macrostructural and microstructural integrity: T1-weighted and T2-weighted imaging for SC cross-sectional area (CSA) computation, multi-echo gradient echo for gray matter CSA, as well as magnetization transfer and diffusion weighted imaging for assessing white matter microstructure. The spine generic protocol was used to acquire data across 42 centers in 260 healthy subjects, as detailed in the companion paper [REF-DATA]. The spine generic protocol is open-access and its latest version can be found at: https://spinalcordmri.org/protocols. The protocol will serve as a valuable starting point for researchers and clinicians implementing new SC imaging initiatives. Note to the reviewer/editor/publisher: the companion paper is referred to as [REF-DATA]6/52 121 122dealing with cervical myelopathy and MS populations. Applications of the MethodThe proposed protocol is not geared towards a specific disease and it is suitable for imaging WM pathology (demyelination and Wallerian degeneration via axon/myelin-sensitive 122 https://mssociety.ca/about-ms-research/about-our-research-program/research-we-fund/canadian-prospect ive-cohort-study-to-understand-progression-in-ms-canproco 121 https://www.wingsforlife.com/us/research/imaging-spinal-cord-injury-and-assessing-its-predictive-value-th e-inspired-study-2675/ 9/52

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Section: Thoraco-lumbar Cordmentioning

confidence: 99%

Generic acquisition protocol for quantitative MRI of the spinal cord

et al. 2021

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“…In this study, the effect of respiration physiological noise was strongly observed in the cardiac noisecorrected datasets, and ROC analysis demonstrated that the sensitivity and specificity of the respiration effect correction were increased. This result can be ex- The graphs show how the type of correction step influences the number of active voxels in the CSF areas plained by considering the bulk magnetic susceptibility changes and the associated B0 shifts in the spinal cord by respiration and the changes in the volume of lungs (Tillieux et al, 2018;Verma, 2014). B0 field shifting is reported to affect the pre-processing and GLM analysis of the spinal cord fMRI data (Durand, van de Moortele, Pachot-Clouard, & Le Bihan, 2001;Parkes, Fulcher, Yu, & Fornitod, 2018;Raj, Anderson, & Gore, 2001;Yeo, Fessler, & Kim, 2008).…”

Section: Discussionmentioning

confidence: 97%

“…Several sources of physiological noises have been described in the fMRI literature, including those associated with cardiac and respiratory processes which were recognized as the most significant ones (Brooks, 2014;Fratini et al, 2014;Kong et al, 2014). Spinal cord in thoracolumbar is close to the lungs and the diaphragm, that influence cerebrospinal fluid-filled spaces and cause changes in the susceptibility due to the changes in the amount of air in the lung (Tillieux et al, 2018;Verma & Cohen-Adad, 2014). Cardiac physiological noise is produced as a result of changes in Cerebral Blood Flow (CBF), Cerebral Blood Volume (CBV), arterial pulsatility, and effect of those on the CSF flow (Fratini et al, 2014;Parrish, Gitelman, LaBar, & Mesulam, 2000).…”

Section: Introductionmentioning

confidence: 99%

Effect of Physiological Noise on Thoracolumbar Spinal Cord Functional Magnetic Resonance Imaging in 3T Magnetic Field

Dehghani

Oghabian

Batouli

et al. 2020

BCN

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Introduction: Functional magnetic resonance imaging (fMRI) methods have been used to study sensorimotor processing in the spinal cord. However, these techniques confront unwanted noises to the measured signal from the physiological fluctuations. In the spinal cord imaging, most of the challenges are consequences of cardiac and respiratory movement artifacts that are considered as significant sources of noise, especially in the thoracolumbar region. In this study, we investigated the effect of each source of physiological noise and their contribution to the outcome of the analysis of the blood-oxygen-level-dependent signal in the human thoracolumbar spinal cord. Methods: Fifteen young healthy male volunteers participated in the study, and pain stimuli were delivered on the L5 dermatome between the two malleoli. Respiratory and cardiac signals were recorded during the imaging session, and the generated respiration and cardiac regressors were included in the general linear model for quantification of the effect of each of them on the task-analysis results. The sum of active voxels of the clusters was calculated in the spinal cord in three correction states (respiration correction only, cardiac correction only, and respiration and cardiac noise corrections) and analyzed with analysis of variance statistical test and receiver operating characteristic curve. Results: The results illustrated that cardiac noise correction had an effective role in increasing the active voxels (Mean±SD= 23.46±9.46) compared to other noise correction methods. Cardiac effects were higher than other physiological noise sources Conclusion: In summary, our results indicate great respiration effects on the lumbar and thoracolumbar spinal cord fMRI, and its contribution to the heartbeat effect can be a significant variable in the individual fMRI data analysis. Displacement of the spinal cord and the effects of this noise in the thoracolumbar and lumbar spinal cord fMRI results are significant and cannot be ignored.

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“…A very simple phantom, which can be assembled by mostly 3D printed parts, is the open‐source NIST phantom 119,229 . Phantoms for very specific applications are also available to assess image distortions, for example, in image‐guided interventions such as MR‐guided radiation therapy, 115,230 3D printed phantoms to evaluate contrast agent solutions, 112,231 for perfusion imaging, 100 or pneumatic phantoms to mimic respiration‐induced artifacts 124,232 . A very useful tool to calculate gel ingredients for sucrose and polyvinylpyrrolidone (PVP)‐based phantoms with a targeted permittivity and electric conductivity is available online 233–235 .…”

Section: Open‐source Mr Scannersmentioning

confidence: 99%

Open‐source magnetic resonance imaging: Improving access, science, and education through global collaboration

Winter,

Periquito,

Kolbitsch

et al. 2023

NMR in Biomedicine

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Open‐source practices and resources in magnetic resonance imaging (MRI) have increased substantially in recent years. This trend started with software and data being published open‐source and, more recently, open‐source hardware designs have become increasingly available. These developments towards a culture of sharing and establishing nonexclusive global collaborations have already improved the reproducibility and reusability of code and designs, while providing a more inclusive approach, especially for low‐income settings. Community‐driven standardization and documentation efforts are further strengthening and expanding these milestones. The future of open‐source MRI is bright and we have just started to discover its full collaborative potential. In this review we will give an overview of open‐source software and open‐source hardware projects in human MRI research.

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A pneumatic phantom for mimicking respiration‐induced artifacts in spinal MRI

Cited by 9 publications

References 14 publications

Generic acquisition protocol for quantitative MRI of the spinal cord

Generic acquisition protocol for quantitative MRI of the spinal cord

Effect of Physiological Noise on Thoracolumbar Spinal Cord Functional Magnetic Resonance Imaging in 3T Magnetic Field

Open‐source magnetic resonance imaging: Improving access, science, and education through global collaboration

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