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1,211 results for “magnetic imaging”
Improving magnetic STEM-differential phase contrast imaging using precession
<p>Scanning transmission electron microscopy datasets and processing files used in the journal publication "<strong>Improving Magnetic STEM-Differential Phase Contrast Imaging using Precession</strong>".</p> <p>DOI link to publication: <a href="https://doi.org/10.1093/micmic/ozad001">https://doi.org/10.1093/micmic/ozad001</a></p> <p> </p> <p><strong>Prerequisites</strong></p> <p>To run the scripts necessary to process the files, the open source packages JupyterLab, HyperSpy, pyXem, and fpd need to be installed. These notebooks were created with these package versions:</p> <ul> <li>hyperspy 1.6.4</li> <li>pyxem 0.13.3</li> <li>fpd 0.2.0</li> <li>jupyterlab 3.2.0</li> </ul> <p> </p> <p><strong>Data files and processing scripts</strong></p> <p>Data files are collected in .zip folders and have names that start with "d00..", while processing scripts are in the Jupyter Notebook .ipynb data format whose names start with "p00..". These files are divided into three main processing steps, outlined as follows:</p> <ol> <li><strong>Processing of raw data</strong>: Raw data files can be found in the d001_scans.zip folder. These are processed with the p002_get_dpc_raw.ipynb script which uses either the center of mass or phase correlation methods.</li> <li><strong>D-scan correction</strong>: The processed files from the previous step are saved in the d002_dpc_raw.zip folder. The p003_get_dpc_cor.ipynb script performs a d-scan correction on these files and saves the output in the d003_dpc_cor.zip folder. <ul> <li><strong>Virtual segmented detector algorithm</strong>: For comparison purposes to the other processing algorithms, a virtual segmented detector algorithm was developed and can be found in the p004_segmented_detector.ipynb script. This algorithm extracts a linear d-scan plane from already processed phase correlation files found in d002_dpc_raw.zip, subtracts it from the raw data files found in d001_scans.zip, and finally performs the processing algorithm.</li> </ul> </li> <li><strong>Plotting files</strong>:<strong> </strong>The p005_plot_dpc_images.ipynb script creates the figures as seen in the journal publication. The input files are those found in d003_dpc_cor.zip from the previous processing step.</li> </ol>
Raw Data for the article: Brain magnetic resonance imaging radiomics features associated with hepatic encephalopathy in adult cirrhotic patients
<p><strong>Purpose: </strong>Hepatic encephalopathy (HE) is a potential complication of cirrhosis. Magnetic resonance imaging (MRI) may demonstrate hyperintense T1 signal in the globi pallidi. The purpose of this study was to evaluate the performance of MRI-based radiomic features for diagnosing and grading chronic HE in adult patients affected by cirrhosis.</p> <p><strong>Methods: </strong>Adult patients with and without cirrhosis underwent brain MRI with identical imaging protocol on a 3T scanner. Patients without history of chronic liver disease were the control population. HE grading was based on underlying liver disease, severity of clinical manifestation, and number of encephalopathic episodes. Texture analysis was performed on axial T1-weighted images on bilateral lentiform nuclei at the level of the foramina of Monro. Diagnostic performance of texture analysis for the diagnosis and grading of HE was assessed by calculating the area under the receiver operating characteristics (AUROC) with 95% confidence interval (CI).</p> <p><strong>Results: </strong>The final study population consisted of 124 patients, 70 cirrhotic patients, and 54 non-cirrhotic controls. Thirty-eight patients had history of HE with 22 having an HE grade > 1. The radiomic features predicted the presence of HE with an AUROC of 0.82 (95% CI: 0.73, 0.90; P < .0001; 82% sensitivity, 66% specificity). Radiomic features predicted grade 1 HE (AUROC 0.75; 95% CI: 0.61, 0.89; P < .0001; 94% sensitivity, 60% specificity) and grade ≥ 2 HE (AUROC 0.82; 95% CI: 0.71, 0.93; P < .0001, 95% sensitivity, 57% specificity).</p> <p><strong>Conclusion: </strong>In cirrhotic patients, MR radiomic is effective in predicting the presence of chronic HE and in grading its severity.</p>
Magnetic resonance images
<p>This repository contains two datasets of magnetic resonance images. The datasets were generated and collected from the following sources:</p> <p>1. BrainWeb: Simulated Brain Database: http://www.bic.mni.mcgill.ca/brainweb/</p> <p>2. IXI dataset (Information eXtraction from Images): https://brain-development.org/ixi-dataset/</p>
Safety of Magnetic Resonance Imaging With Patients Who Have Mixed Lead Cardiac Implantable Electronic Devices
ClinicalTrials.gov study NCT07155135. IPD Sharing: NO. Countries: 1. Publications: 12.
Efficacy and Safety of Gadobutrol 1.0 Molar (Gadovist) for Breast Magnetic Resonance Imaging (MRI)
ClinicalTrials.gov study NCT01104584. IPD Sharing: Not stated. Countries: 9. Publications: 2.
Comparison of Prohance® With Gadovist®/Gadavist™ in Magnetic Resonance Imaging (MRI) of the Brain
ClinicalTrials.gov study NCT01613417. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Phenotyping Interstitial Cystitis/Bladder Pain Syndrome (IC/BPS) by Intravesical Contrast Enhanced - Magnetic Resonance Imaging (ICE-MRI) Bladder Permeability Assay
ClinicalTrials.gov study NCT05811377. IPD Sharing: NO. Countries: 1. Publications: 2.
Magnetic Resonance Imaging Study of Geriatric Depression
ClinicalTrials.gov study NCT00245557. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Positron Emission Tomography and Magnetic Resonance Imaging for Prostate Cancer
ClinicalTrials.gov study NCT00924313. IPD Sharing: NO. Countries: 1. Publications: 3.
Functional Magnetic Resonance Imaging of ATP Cough in Chronic Cough Patients
ClinicalTrials.gov study NCT03722849. IPD Sharing: NO. Countries: 1. Publications: 6.
A Pilot Study of Dexmedetomidine-Propofol in Children Undergoing Magnetic Resonance Imaging
ClinicalTrials.gov study NCT02633241. IPD Sharing: NO. Countries: 1. Publications: 4.
Repetitive Transcranial Magnetic Stimulation for Treating Depression: A Functional Magnetic Resonance Imaging Study
ClinicalTrials.gov study NCT01162382. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Magnetic Resonance Imaging (MRI) of Appendicitis in Children
ClinicalTrials.gov study NCT00723788. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Rebif Advanced Magnetic Resonance Imaging (MRI) and Immunology Pilot Trial
ClinicalTrials.gov study NCT01085318. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Drug Treatment Validation of Functional Magnetic Resonance Imaging in Generalized Anxiety Disorder
ClinicalTrials.gov study NCT00662259. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Effects of Tofacitinib (CP-690,550) on Magnetic Resonance Imaging (MRI)- Assessed Joint Structure In Early Rheumatoid Arthritis (RA)
ClinicalTrials.gov study NCT01164579. IPD Sharing: Not stated. Countries: 9. Publications: 14.
Detection of Liver Fibrosis With Magnetic Resonance Imaging (MRI)
ClinicalTrials.gov study NCT01600105. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Magnetic Resonance Imaging Evaluation of Inner Ear Pathology Using Intra-Tympanic Contrast Agent
ClinicalTrials.gov study NCT02080312. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Measuring Effects of Pazopanib Hydrochloride in Patients With Metastatic Kidney Cancer
ClinicalTrials.gov study NCT01599832. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Efficacy and Safety of Gadopiclenol for Body Magnetic Resonance Imaging (MRI)
ClinicalTrials.gov study NCT03986138. IPD Sharing: NO. Countries: 11. Publications: 1.
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.