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18
datasets available to search
ShareScore release 0.9.0
Dataset results
18 results for “4D Flow”
Cardiovascular MRI (CMR) 3D Cine, 4D Flow and Exercise Stress 4D flow datasets
<p>MRI Datasets for "<strong>Motion-robust free-running volumetric cardiovascular MRI" </strong>(<a href="https://doi.org/10.1002/mrm.30123">https://doi.org/10.1002/mrm.30123</a>)</p> <p><strong>Reconstruction Code Repository</strong>: <a href="https://github.com/OSU-MR/motion-robust-CMR">https://github.com/OSU-MR/motion-robust-CMR</a><br><br><strong>Cite as</strong>: Arshad SM, Potter LC, Chen C, et al. Motion-robust free-running volumetric cardiovascular MRI. Magn Reson Med. 2024; 92(3): 1248-1262. doi: 10.1002/mrm.30123<br> </p> <p>Contains: </p> <ol> <li>3D cine Cartesian bSSFP Acquisition (Undersampled data sorted into 20 cardiac bins)</li> <li>4D flow Cartesian Acquisition (Undersampled data sorted into 20 cardiac bins)</li> <li>Stress 4D flow Cartesian Acquisition (Undersampled data sorted into 20 cardiac bins)</li> </ol> <p><br><strong>Prepared by</strong>:</p> <p><strong>Syed Murtaza Arshad</strong> (<a href="arshad.32@osu.edu">arshad.32@osu.edu</a>)</p> <p>(<a href="https://github.com/syedmurtazaarshad">https://github.com/syedmurtazaarshad</a>)</p> <p> </p>
3D modeling and 4D flow data of total cavopulmonary connection (TCPC) vs. convergent cavopulmonary connection (CCPC)
Open the record for dataset details and reuse information.
Evaluation of 4D Magnetic Resonance Flow Sequence at Hepatic Level
ClinicalTrials.gov study NCT02821078. IPD Sharing: NO. Countries: 1. Publications: 1.
Accuracy of Left Subclavian Regurgitation Evaluated by Ultrasound Doppler and 4D Flow MRI
ClinicalTrials.gov study NCT03549091. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Pelvic Vein Quantitative Flow Characterization Using 2D and 4D Flow MRI
ClinicalTrials.gov study NCT06888024. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Quantification of Mitral Regurgitation Using 4D MRI Flow : Comparison With 2D MRI Flow and Echocardiography Using the Evolution of Left Ventricular Remodeling as a Reference
ClinicalTrials.gov study NCT07066904. IPD Sharing: YES. Countries: 1. Publications: 0.
4D FLOW: Feasibility Study of a Sequence 4D of Flow Applied to the Cervico-encephalic Vascular Pathologies
ClinicalTrials.gov study NCT02602951. IPD Sharing: Not stated. Countries: 1. Publications: 0.
4D- Flow- MRI After Aortic Valve Surgery
ClinicalTrials.gov study NCT04223713. IPD Sharing: Not stated. Countries: 1. Publications: 0.
4D-flow Cardiac MRI to Assess Pulmonary Arterial Pressure in Pulmonary Hypertension
ClinicalTrials.gov study NCT05103189. IPD Sharing: NO. Countries: 1. Publications: 0.
Development of 4D Flow MRI for Risk Stratification of Variceal Bleeding in Cirrhosis
ClinicalTrials.gov study NCT04867954. IPD Sharing: NO. Countries: 1. Publications: 0.
Pushing Spatiotemporal Limits for 4D Flow MRI and Dynamic MRA in the Brain at Ultra-High Field
ClinicalTrials.gov study NCT02576743. IPD Sharing: Not stated. Countries: 1. Publications: 0.
4D-flow MRI to Assess Left Ventricular Obstruction in Hypertrophic Cardiomyopathy
ClinicalTrials.gov study NCT04439942. IPD Sharing: NO. Countries: 1. Publications: 0.
Impact of BPA in CTEPH on Cardiac and Pulmonary Physiology Assessed by CMR-derived 4D Flow Haemodynamics
ClinicalTrials.gov study NCT07299227. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Implementation of Non-size Markers Derived From 4D Flow MRI of Patients With Aortic Disease.
ClinicalTrials.gov study NCT02467062. IPD Sharing: NO. Countries: 1. Publications: 0.
Clinical Evaluation of 4D Flow Cardiac MRI Sequences
ClinicalTrials.gov study NCT03986645. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Reconstruction software: 4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography
<p>This repository contains the dataset and the computed tomography (CT) reconstruction software used in the journal article "4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography". </p>
4D flow evaluation of blood non-Newtonian behavior in left ventricle flow analysis
<p>Dataset from Riva A, Sturla F, Caimi A, Pica S, Giese D, Milani P, Palladini G, Lombardi M, Redaelli A, Votta E. 4D flow evaluation of blood non-Newtonian behavior in left ventricle flow analysis. J Biomech. 2021 Apr 15;119:110308. doi: 10.1016/j.jbiomech.2021.110308. Epub 2021 Feb 8. PMID: 33631666.</p> <p>Abstract</p> <p>Blood is generally modeled as a Newtonian fluid, assuming a standard and constant viscosity; however, this assumption may not hold for the highly pulsatile and recirculating intracavitary flow in the left ventricle (LV), hampering the quantification of fluid dynamic indices of potential clinical relevance. Herein, we investigated the effect of three viscosity models on the patient-specific quantification of LV blood energetics, namely on viscous energy loss (EL), from 4D Flow magnetic resonance imaging: I) Newtonian with standard viscosity (3.7 cP), II) Newtonian with subject-specific hematocrit-dependent viscosity, III) non-Newtonian accounting for the effect of hematocrit and shear rate. Analyses were performed on 5 controls and 5 patients with cardiac light-chain amyloidosis. In Model II, viscosity ranged between 3.0 (-19%) and 4.3 cP (+16%), mildly deviating from the standard value. In the non-Newtonian model, this effect was emphasized: viscosity ranged from 3.2 to 6.0 cP, deviating maximally from the standard value in low shear rate (i.e., <100 s<sup>-1</sup>) regions. This effect reflected on EL quantifications: in particular, as compared to Model I, Model III yielded markedly higher EL values (up to +40%) or markedly lower (down to -21%) for subjects with hematocrit higher than 39.5% and lower than 30%, respectively. Accounting for non-Newtonian blood behavior on a patient-specific basis may enhance the accuracy of intracardiac energetics assessment by 4D Flow, which may be explored as non-invasive index to discriminate between healthy and pathologic LV.</p>
Carotid Phase-Contrast Magnetic Resonance before Treatment: 4D-Flow versus Standard 2D Imaging
<p>Secchi F, Monti CB, Capra D, Vitale R, Mazzaccaro D, Conti M, Jin N, Giese D, Nano G, Sardanelli F, Marrocco-Trischitta MM. Carotid Phase-Contrast Magnetic Resonance before Treatment: 4D-Flow versus Standard 2D Imaging. Tomography. 2021 Sep 28;7(4):513-522. doi: 10.3390/tomography7040044. PMID: 34698250; PMCID: PMC8544659.</p> <p>Abstract</p> <p>The purpose of this study was to evaluate the level of agreement between flow/velocity data obtained from 2D-phase-contrast (PC) and 4D-flow in patients scheduled for treatment of carotid artery stenosis. Image acquisition was performed using a 1.5 T scanner. We compared mean flow rates, vessel areas, and peak velocities obtained during the acquisition with both techniques in 20 consecutive patients, 15 males and 5 females aged 69 ± 5 years (mean ± standard deviation). There was a good correlation between both techniques for the CCA flow (<em>r</em> = 0.65, <em>p</em> < 0.001), whereas for the ICA flow and ECA flow the correlation was only moderate (<em>r</em> = 0.4, <em>p</em> = 0.011 and <em>r</em> = 0.45, <em>p</em> = 0.003, respectively). Correlations of peak velocities between methods were good for CCA (<em>r</em> = 0.56, <em>p</em> < 0.001) and moderate for ECA (<em>r</em> = 0.41, <em>p</em> = 0.008). There was no correlation for ICA (<em>r</em> = 0.04, <em>p</em> = 0.805). Cross-sectional area values between methods showed no significant correlations for CCA (<em>r</em> = 0.18, <em>p</em> = 0.269), ICA (<em>r</em> = 0.1, <em>p</em> = 0.543), and ECA (<em>r</em> = 0.05, <em>p</em> = 0.767). Conclusion: the 4D-flow imaging provided a good correlation of CCA and a moderate correlation of ICA flow rates against 2D-PC, underestimating peak velocities and overestimating cross-sectional areas in all carotid segments.</p>
ScienceDex guides
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.