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1,640 results for “Magnetic Resonance”
Risk Assessment and Radiomics Analysis in Magnetic Resonance Imaging of Pancreatic Intraductal Papillary Mucinous Neoplasms (IPMN)
<p>I uploaded the original images of the manuscript "Risk Assessment and Radiomics Analysis in Magnetic Resonance Imaging of Pancreatic Intraductal Papillary Mucinous Neoplasms (IPMN)" accepted for pubblication on Cancer Control.</p>
Surface nuclear magnetic resonance survey in Lexington, NE 29 March 2010
<p>This is a surface nuclear magnetic resonance dataset collected on 29 March 2010 in Lexington NE, USA.</p> <p><strong>Instrument</strong>: Vista Clara, GMR</p> <p><strong>Static magnetic field</strong>: 53,761 nT</p> <p><strong>B field Inclination</strong>: 68.0 (NOAA derived) </p> <p><strong>B field declination:</strong> 0 (the transmitter loop is aligned along magnetic north within compass accuracy)</p> <p><strong>Transmitter loop type</strong>: 100 m square loop</p> <p><strong>Pulse type</strong>: FID, 40 ms</p> <p><strong>Transmitter channel:</strong> Ch. 1</p> <p><strong>Reference Channels: </strong>Ch. 2 and Ch. 3</p> <p><strong>Conductivity mode</strong>l: TEM derived</p> <p> Top (m) Bottom (m) Thickness (m) Resistivity (Ohm m)</p> <p> Layer 1 0.00 15.49 15.49 16.91</p> <p> Layer 2 15.49 43.67 28.18 24.06</p> <p> Layer 3 43.67 inf inf 33.23</p> <p>The dataset had 18 stacks, but stack 1 is corrupted and not included.</p>
Fig. 2. A in Microstructural Impact of Ischemia and Bone Marrow-Derived Cell Therapy Revealed With Diffusion Tensor Magnetic Resonance Imaging Tractography of the Heart In Vivo
Fig. 2. A picture of four male - female pairs of Amblyomma variegatum attached on a cow examined during this survey. © Anne Laudisoit.
Fig. 1 in Microstructural Impact of Ischemia and Bone Marrow-Derived Cell Therapy Revealed With Diffusion Tensor Magnetic Resonance Imaging Tractography of the Heart In Vivo
Fig. 1. Map of Kisangani and Major transhumance routes from probable departure location to Kisangani city, DR Congo.
A comprehensive dataset of magnetic resonance enterography images with bowel segment annotations
<p>Inflammatory bowel disease (IBD) is a recurrent bowel disease that usually requires magnetic resonance enterography (MRE) for diagnosis and monitoring. However, recognition of bowel segments from MRE images by a radiologist is challenging and time-consuming. Deep learning-based medical image segmentation has shown the potential to reduce manual effort and provide automated tools to assist in disease management; however, it requires a large-scale fine<span>-</span>annotated dataset for training. To address this gap, we collected MRE data, including HASTE(half-Fourier acquisition single-shot turbo spin-echo) sequences with coronal orientation, from 114 patients with IBD. The bowel images per patient were contoured and annotated into ten segments (stomach, duodenum, small intestine, appendix, cecum, ascending colon, transverse colon, descending colon, sigmoid colon, and rectum), with fine pixel-level annotations labeled by experienced radiologists. Furthermore, we <span>validated</span> the efficiency of several state-of-the-art segmentation methods using this dataset. This study established a high-quality, publicly available whole-bowel segment MR dataset with benchmark results and laid the groundwork for AI research on IBD.</p>
Simulated and Experimental Magnetic Resonance Data of Fentanyl HCl
<p><span>This data consists of simulations and experimental measurements of solid-state nuclear magnetic resonance (SSNMR) spectroscopy, fast-field cycling (FFC) NMR spectroscopy, and nuclear quadrupole resonance (NQR) spectroscopy of fentanyl HCl. <sup>14</sup>N and <sup>35</sup>Cl SSNMR data are included as the topspin binary format. <sup>1</sup>H FFC NMR data are included as the sdf format. <sup>14</sup>N NQR data of both NQR spectra are included as the tnt format. Simulated <sup>14</sup>N and <sup>35</sup>Cl SSNMR data from QUEST are included in an exported topspin binary format. Simulated <sup>14</sup>N SSNMR data from SIMPSON is included in the SIMPSON fid format. Simulated Zeeman-perturbed NQR from SPINACH is included as a csv. In all cases post-processed data are also included in the form of csv files for easy viewing by readers. Each csv typically has the first column as a vector of frequencies and the second column as the processed NMR data.</span></p>
Supporting information: "Spin-polarization and resonant states in electronic conduction through a correlated magnetic layer"
<p>The supporting information contains the computational details and numerical data for the article. The<br> directory ‘scripts’ of the supplementary material contains the Python code used to create Figures 2–6.<br> The code can be used to exactly reproduce the figures.</p> <p><br> Figures 5 and 6 show interacting data, which requires a computationally involved self-consistent dynamical mean-field theory (DMFT) calculation. The results of this calculation are in the directory ‘DMFT_data’,<br> the subdirectories are named according to the parameters, where ‘tl’ is $t_L$, ‘tc’ is $t_{01}$, and ‘U’ is $U_{0}$.<br> The data is saved as HDF5 files. They can be opened conveniently using Python using the method<br> ‘open_dataset’ given in ‘scripts/dataio.py’.</p> <p> </p>
Magnetic resonance imaging in the assessment of pancreatic cancer with quantitative parameter extraction by means of dynamic contrast-enhanced magnetic resonance imaging, diffusion kurtosis imaging and intravoxel incoherent motion diffusion-weighted imaging
<p>We uploaded IVIM and DKI parameters values of included patients in the manuscript: Fusco, Roberta, Adele Piccirillo, Mario Sansone, Vincenza Granata, Paolo Vallone, Maria L. Barretta, Teresa Petrosino, Claudio Siani, Raimondo Di Giacomo, Maurizio Di Bonito, Gerardo Botti, and Antonella Petrillo. 2021. "Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions" Applied Sciences 11, no. 4: 1880. https://doi.org/10.3390/app11041880</p>
Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions
<p>We uploaded the 15 morphological features of 91 samples of 85 patients analyzed in the manuscript: Fusco, Roberta, Adele Piccirillo, Mario Sansone, Vincenza Granata, Paolo Vallone, Maria L. Barretta, Teresa Petrosino, Claudio Siani, Raimondo Di Giacomo, Maurizio Di Bonito, Gerardo Botti, and Antonella Petrillo. 2021. "Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions" Applied Sciences 11, no. 4: 1880. https://doi.org/10.3390/app11041880</p>
Blood oxygenation level dependent magnetic resonance imaging and diffusion weighted MRI imaging for benign and malignant breast cancer discrimination
<p>We uploaded the daset releatet t the manuscript: Fusco R, Granata V, Pariante P, Cerciello V, Siani C, Di Bonito M, Valentino M, Sansone M, Botti G, Petrillo A. Blood oxygenation level dependent magnetic resonance imaging and diffusion weighted MRI imaging for benign and malignant breast cancer discrimination. Magn Reson Imaging. 2021 Jan;75:51-59. doi: 10.1016/j.mri.2020.10.008. Epub 2020 Oct 17. PMID: 33080334.</p>
Metastatic endo and perineural involvement of the ulnar nerve from malignant melanoma: ultrasound (US) and magnetic resonance imaging (MRI) findings
<p>We uploaded the images of the enrolled patient in the manuscript: Simonetti I, Sandomenico F, Rocco MP, Fusco R, Setola SV, Granata V, Iasevoli DM, Ascierto PA, Grassi R, Petrillo A. Metastatic endo and perineural involvement of the ulnar nerve from malignant melanoma: ultrasound (US) and magnetic resonance imaging (MRI) findings. Eur Rev Med Pharmacol Sci. 2021 May;25(9):3478-3482. doi: 10.26355/eurrev_202105_25829. PMID: 34002821.</p>
Experimental data of Magnetic resonance imaging of analog lava flows: Velocity and rheology
<p>Experimental data of two- and three-phases suspension analog lava flow experiments to accompany "Magnetic resonance imaging of analog lava flows: Velocity and rheology"</p>
Data for "Water dynamics in highly concentrated protein systems – insight from Nuclear Magnetic Resonance relaxometry
<p>Raw data (<sup>1</sup>H magnetization versus time) for "Water dynamics in highly concentrated protein systems – insight from Nuclear Magnetic Resonance relaxometry".</p> <p>The files include information about concentration and temperature.</p> <p><em>Int. J. Mol. Sci.</em> <strong>2023</strong>, <em>24</em>(4), 4093; https://doi.org/10.3390/ijms24044093</p> <p> </p>
Excessive checking in Obsessive Compulsive Disorder: neurochemical correlates revealed by 7-Tesla magnetic resonance spectroscopy
<p>This link contains datasets analysed in the article titled "Excessive checking in Obsessive Compulsive Disorder: neurochemical correlates revealed by 7 Tesla magnetic resonance spectroscopy". The anonymised behavioural, clinical and MRS data are shared here. Whereas the structural data which could not be anonymised can be requested <a href="https://doi.org/10.5281/zenodo.7832207">here</a> with restricted access.</p>
Universal Dynamic Fitting of Magnetic Resonance Spectroscopy - Data
<p>Original data for the in vivo experiments included in the article Universal Dynamic Fitting of Magnetic Resonance Spectroscopy by William T Clarke, Clémence Ligneul, Michiel Cottaar, Betina Ip and Saad Jbabdi (Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK).</p> <p>This data accompanies the online <a href="https://git.fmrib.ox.ac.uk/wclarke/fsl-mrs-dynamic-fitting">code repository</a>. Note that this repository contains preprocessed versions of this data already.</p> <p>Two files are included:</p> <ol> <li>fmrs_invivo_unprocessed_data.zip - NIfTI-MRS formatted data relating to the fMRS in vivo example in this work. Data is originally from <a href="https://doi.org/10.1016/j.neuroimage.2017.04.030">10.1016/j.neuroimage.2017.04.030</a>.</li> <li>dwmrs_invivo_original_data.zip = matlab .mat data relating tot he dwMRS in vivo example in this work. Data is originally from <a href="https://doi.org/10.1016/j.neuroimage.2019.02.046">10.1016/j.neuroimage.2019.02.046</a>.</li> </ol> <p>If you use this data in your work please cite this work (Universal Dynamic Fitting of Magnetic Resonance Spectroscopy) once available and the originating publications.</p>
Correlation between LDH/PDH activities ratio and tissue pH in the perfused mouse heart – a potential non-invasive indicator of cardiac pH provided by hyperpolarized magnetic resonance
<p>Primary data for DOI: 10.1002/nbm.4444</p> <p>NMR in Biomedicine. 2021;34:e4444.</p> <p>Title: Correlation between LDH/PDH activities ratio and tissue pH in the perfused mouse heart – a potential non-invasive indicator of cardiac pH provided by hyperpolarized magnetic resonance</p> <p>Authors: David Shaul, Assad Azar, Gal Sapir, Sivaranjan Uppala, Atara Nardi-Schreiber, Ayelet Gamliel, Jacob Sosna, J. Moshe Gomori, and Rachel Katz-Brull</p> <p> </p> <p>These primary datasets contain data presented in the above publication and consist of:</p> <p>1. <sup>31</sup>P-NMR spectra</p> <p>2. Hyperpolarized <sup>13</sup>C-NMR spectra</p> <p>Please consult the Archive Guide.</p>
Safety and function of programmable ventriculo-peritoneal shunt valves: An in vitro 7 Tesla magnetic resonance imaging study
<p>DICOM files: Image artifacts of Codman Certas Plus and proGAV 2.0 at 7 Tesla GRE, SE and MPRAGE</p>
Data underlying: High-Field Optical Cesium Magnetometer for Magnetic Resonance Imaging
<p>This is the data used in the work "High-Field Optical Cesium Magnetometer for Magnetic Resonance Imaging" by Hans Stærkind, Kasper Jensen, Vincent O. Boer, Esben Thade Petersen and Eugene S. Polzik.</p> <p>Scripts for calculations done in the article are also included.</p>
Evaluation of Nidus Occlusion After Gamma Knife Radiosurgery of Cerebral Arteriovenous Malformations Using Magnetic Resonance Imaging
ClinicalTrials.gov study NCT03995823. IPD Sharing: NO. Countries: 1. Publications: 31.
Magnetic Resonance Elastography as a Method to Estimate Stiffness of Soft Tissues
ClinicalTrials.gov study NCT01757730. IPD Sharing: Not stated. Countries: 1. Publications: 5.
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.