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1,640 results for “Magnetic Resonance”
Magnetic Resonance Imaging Scan of the Brain of a Gorilla (Gorilla gorilla)
<p>Magnetic Resonance Imaging Scan of the Brain of a Gorilla (<i>Gorilla gorilla</i>) from http://braincatalogue.org/Gorilla</p>
Magnetic Resonance Imaging Scan of the Brain of a Ostrich (Struthio camelus)
<p>Magnetic Resonance Imaging Scan of the Brain of a Ostrich (<i>Struthio camelus</i>) from http://braincatalogue.org/Ostrich</p>
Magnetic Resonance Imaging Scan of the Brain of a Giant panda (Ailuropoda melanoleuca)
<p>Magnetic Resonance Imaging Scan of the Brain of a Giant panda (<i>Ailuropoda melanoleuca</i>) from http://braincatalogue.org/Giant_panda</p>
Magnetic Resonance Imaging Scan of a Baboon Brain (Papio Papio)
<p>Magnetic resonance imaging scan of a baboon brain (Papio papio) from http://braincatalogue.org/Baboon</p>
Magnetic Resonance Imaging Scan of the Brain of a Cheetah (Acinonyx jubatus)
<p>Magnetic Resonance Imaging Scan of the Brain of a Cheetah (<i>Acinonyx jubatus</i>) from http://braincatalogue.org/Cheetah</p>
Accumulation of 3-aminopropylphosphonate in the ex vivo brain observed by phosphorus-31 nuclear magnetic resonance
<p>This dataset contains primary data for DOI: 10.1002/nbm.4721</p><p>NMR in Biomedicine. 2022; 35(8):e4721</p><p>Title: Accumulation of 3-aminopropylphosphonate in the ex vivo brain observed by phosphorus-31 nuclear magnetic resonance</p><p>Authors: David Shaul, Benjamin Grieb, Naama Lev-Cohain, Jacob Sosna, J. Moshe Gomori, Rachel Katz-Brull</p><p> </p><p>These primary datasets contain data presented in the above publication and consist of 31P-NMR spectra. </p><p> </p><p>Please consult the Archive Guide.</p>
The metabolic representation of ischemia in rat brain slices: A hyperpolarized 13 C magnetic resonance study
<p>This dataset contains primary data for DOI: 10.1002/nbm.4509</p><p>NMR in Biomedicine. 2021; 34(7):e4509</p><p>Title: The metabolic representation of ischemia in rat brain slices: A hyperpolarized 13 C magnetic resonance study </p><p>Authors: David Shaul , Benjamin Grieb, Gal Sapir, Sivaranjan Uppala, Jacob Sosna, J Moshe Gomori, Rachel Katz-Brull</p><p> </p><p>These primary datasets contain data related to the above publication and consist of 31P (thermal equilibrium) and hyperpolarized 13C -NMR spectra. </p><p>Please consult the Archive Guide.</p>
Diagnostic and prediction value of synthetic magnetic resonance imaging in acute ischemic stroke patients
<p>This is the supplementary tables for the above paper, mainly including original statistical analysis data.</p>
Fine-tuning of predictive microbiology models through microlocal characterization of foods by Nuclear Magnetic Resonance (NMR)
<p>Fine-tuning of predictive microbiology models through microlocal characterization of foods by Nuclear Magnetic Resonance (NMR)</p>
Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to detect breast malignant Lesions
<p>We uploade the dataset of the manuscript "Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to detect breast malignant Lesions" by Current Oncology.</p> <p> </p>
Raw Data for the article: Usefulness of longitudinal systolic strain and delayed enhancement cardiac magnetic resonance in depicting risk of supraventricular arrythmias in patients with acute myocarditis and preserved left ventricular function
<p><strong>Background: </strong>Myocarditis have variable clinical presentation, evolution and prognosis. Aim of our study was to evaluate the value of speckle tracking echocardiography and cardiac magnetic resonance (CMR) in the short-term prediction of supraventricular arrhythmias (SVA) in patients with acute myocarditis.</p> <p><strong>Methods: </strong>Seventy patients (mean age 31±14 years old) with acute myocarditis and preserved left ventricular ejection fraction (LVEF) were enrolled. Longitudinal systolic strain (LS) of the left ventricle (LV), mechanical dispersion (MD) and CMR with quantitative measurement of delayed enhancement (DE) were performed in a subset of 43 patients. Logistic regression and ROC analysis were used to identify predictors of SVA RESULTS: Only LS measured at sup-epicardial, mid-wall and sub-endocardial level of the apical 4-chamber view was significantly lower in patients with SVA, while MD was marginally prolonged in this setting. A value of LS > - 16.1% measured at LV mid-wall in the apical 4-chamber view (ROC-AUC .75, Sensitivity 63%, Specificity 85%) was the most accurate measure to identify patients with SVA. DE mass was also helpful with a ROC-AUC .76; a DE-Mass > 18.9 gr. had a Sensitivity 63% and a Specificity 77%, to identify patients at risk of SVA.</p> <p><strong>Conclusions: </strong>Both DE mass and LS were associated with higher risk of SVA in patients with acute myocarditis and preserved LVEF. However, LS measured at the mid-wall level and limited to LV segments included in the apical 4-chamber view was the most accurate measure and did not show interaction with DE mass.</p>
Open data repository, An et al., Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images
<p>Open data repository of journal article "Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images" by Jeehye An <em>et al. </em>At time of publication of this dataset, the manuscript is still under revision.</p> <p>This dataset contains mouse T2 weighted MRI data, and manually and automated segmented ischemic stroke lesion masks for developing and evaluating a deep learning-based automated lesion segmentation. All files are in NIFTI format.<br> </p>
Date advanced functional nuclear magnetic resonance techniques for pediatric population diagnosed with Attention Deficit Hyperactivity Disorder
<p class="MsoNormal">Attention deficit hyperactivity disorder (ADHD) is highly prevalent childhood-onset neurodevelopment disorder. Several clinical tools are used for ADHD diagnosis such as behavior rating scales, intelligence tests, severity, and dysfunction scales. However, these methods depend to the experience and training of physician increasing human error. DICOM Images using Magnetic Resonance Imaging (MRI) provides quantitative result such as fractional anisotropy or the number of tracts that could be helpful to support ADHD diagnosis.</p>
Meridional composite pulses for low-field magnetic resonance
<p>We discuss procedures for error-tolerant spin control in environments that permit transient, large-angle reorientation of magnetic bias field. Short sequences of non-resonant magnetic field pulses in a laboratory-frame meridional plane are derived. These are shown to have band-pass excitation properties comparable to established amplitude-modulated, resonant pulses used in high, static-field magnetic resonance. Using these meridional pulses, we demonstrate robust z inversion in proton (<sup>1</sup>H) nuclear magnetic resonance near Earth’s field.</p>
Real-time magnetic resonance imaging to study orthostatic intolerance mechanisms in human beings: Proof of concept
<p>This dataset was acquired at DLR, Cologne, Germany. The study complied with the Declaration of Helsinki, and was approved by the local ethics committee. All subjects gave written informed consent.</p> <p> </p> <p><strong>Data acquisition</strong><br> <em>MRI data</em></p> <p>All MR images were acquired on a Siemens 3T mMR Biograph using cardiac, spine and head coils. The scanning protocol consisted of the following sequences.</p> <ul> <li><strong>MPI70_SA20_FOV320_16X6MM_33MS</strong>: cardiac real-time MRI of the short axis (TR=2.56 ms; TE=1.62 ms; FA= 10°; 1.6x1.6 mm; 6 mm slice thickness; 20 slices; FoV320x320 mm; radial spokes 13)</li> <li><strong>MPI70_TP_PCMV100_FOV320_15X6MM_33MS</strong>: blood flow real-time MRI of the pulmonary trunk (TR=3.33 ms; TE=2.24 ms; FA= 10°; 1.5x1.5 mm; 6 mm slice thickness; FoV=320x320 mm; VENC=100 cm/s; radial spokes 5)</li> <li><strong>MPI70_PCMV100_FOV192_075X6MM_80MS:</strong> blood flow real-time MRI of the middle cerebral artery (TR=4.44 ms; TE=3.10 ms; FA= 12°; 0.75x0.75 mm; 6 mm slice thickness; FoV=192x192 mm; VENC=100 cm/s; radial spokes 9)</li> </ul> <p> </p> <p>Cinematic real-time MRI of the short axis view and blood flow measurements of the pulmonary trunk and in the left and right middle cerebral artery were acquired at baseline and during -30mmHg LBNP.</p> <p> </p> <p>Video files:</p> <p><a href="https://zenodo.org/record/7066642/files/Series_040_mpi70_SA20_FOV320_16x6mm_33ms_Slice_14.wmv?download=1">https://zenodo.org/record/7066642/files/Series_040_mpi70_SA20_FOV320_16x6mm_33ms_Slice_14.wmv?download=1</a></p> <p><a href="https://zenodo.org/record/7066642/files/Series_103_mpi70_SA20_FOV320_16x6mm_33ms_Slice_14.wmv?download=1">https://zenodo.org/record/7066642/files/Series_103_mpi70_SA20_FOV320_16x6mm_33ms_Slice_14.wmv?download=1</a></p> <p> </p> <p> </p>
Virtual cohort of fetal cases with suspected coarctation of the aorta from fetal three-dimensional magnetic resonance images
<p>The present dataset is a supplementary dataset to the paper: Hermida, U., van Poppel, M.P.M., Lloyd, D.F.A. <em>et al.</em> Learning the Hidden Signature of Fetal Arch Anatomy: a Three-Dimensional Shape Analysis in Suspected Coarctation of the Aorta. <em>J. of Cardiovasc. Trans. Res.</em> (2022). https://doi.org/10.1007/s12265-022-10335-9</p> <p><strong>Dataset Description: </strong></p> <p>We present a database of fetal great arch anatomical models derived from a statistical shape model (SSM) of fetuses with suspected coarctation of the aorta (CoA). The dataset consists of 1000 meshes including the fetal ascending aorta, arterial duct and descending aorta. For each synthetic case, the corresponding PCA coefficients for the 10 first PCA modes, as well as their CoA risk score, are shared. PCA scores are provided both as raw scores and Z-scores. </p> <p>To build the SSM, a dataset of 112 motion-corrected 3D fetal cardiovascular magnetic resonance (CMR) images and their corresponding segmentations from cases with suspected CoA was used. Data included confirmed CoA cases as well as false positive (FP) cases. Centerlines were extracted and aligned to build the SSM of the fetal great arches. </p> <p><strong>Source of funding</strong></p> <p>This work was supported by the Wellcome Trust IEH Award [102431] (iFIND project), by core funding from the Wellcome/EPSRC Centre for Medical Engineering [WT203148/Z/16/Z] and by the Rosetrees Trust [A2725]. The research was funded by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London and supported by the NIHR Clinical Research Facility. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. D.F.A. Lloyd acknowledges support from the Rothschild Foundation (2020/2017). P. Lamata holds a Wellcome Trust Senior Research Fellowship (209450/Z/17/Z).</p>
Modular Torso Motion Phantom for Magnetic Resonance Imaging (MRI)
<p>This data set contains CAD models, code and information for the construction of a <span>Modular Torso Motion Phantom for Magnetic Resonance Imaging (MRI).<span><br></span></span></p>
Combining Dipole and Loop Coil Elements for 7 T Magnetic Resonance Studies of the Human Calf Muscle - Dataset
<p>Data necessray to reprodice and to verify the results of the publication "Combining Dipoles and Loops for High SNR and Parallel Imaging Performance in Human Calf Muscle Studies at 7 T".</p>
Research Data - Magnetic Field Controlled Surface Localization of Spin-Wave Ferromagnetic Resonance Modes in 3D Nanostructures
<p>Source data from micromagnetic simulations performed in COMSOL Multiphysics software and Python codes for data post-processing utilized in the paper "Magnetic Field Controlled Surface Localization of Spin-Wave Ferromagnetic Resonance Modes in 3D Nanostructures."</p> <p>The files from Comsol (.mph) are without simulation solutions due to their large size - please contact me if needed.</p>
Automatic registration of magnetic resonance and optoacoustic tomography
<p>optoacoustic / photoacoustic tomography - magnetic resonance imaging registration dataset.</p> <p>1. phantom with fiducial marker inserts</p> <p>2. ex vivo mouse brain</p> <p>3. in vivo mouse brain </p> <p>4. RegOA registration application </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.