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1,211 results for “magnetic imaging”
Evaluation of Triple Therapy Using Magnetic Resonance Imaging in Asthma
ClinicalTrials.gov study NCT04651777. IPD Sharing: Not stated. Countries: 1. Publications: 13.
Data from: Characterization data of commercial tracers for magnetic particle imaging
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Data from: On the partial volume effect in magnetic particle imaging
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Data from: Harnessing the oloid shape in magnetically driven robots to enable high-resolution ultrasound imaging
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Data from: Headache study: The management of chronic headache with referral from primary care to direct access to Magnetic Resonance Imaging (MRI) compared to Neurology services: an observational prospective study in London
<p><b>Objectives</b>. To evaluate the cost, accessibility and patient satisfaction implications of two clinical pathways used in the management of chronic headache.</p> <p><b>Intervention</b>. Management of chronic headache following referral from Primary Care that differed in the first appointment, either a Neurology appointment or an MRI brain scan.</p> <p><b>Design and setting</b>. A pragmatic, non-randomised, prospective, single-center study at a Central Hospital in London.</p> <p><b>Participants. </b>Adult patients with chronic headache referred from Primary to Secondary Care.</p> <p><b>Primary and secondary outcome measures.</b> Participants' use of health care services and costs were estimated using primary and secondary care databases and questionnaires quarterly up to 12 months post-recruitment. Cost analyses were compared using generalised linear models (GLM). Secondary outcomes assessed: access to care, patient satisfaction, headache burden and self-perceived quality of life using headache-specific (MIDAS, HIT-6) and a generic questionnaire (EQ-5D-5L).</p> <p><b>Results. </b>Mean (SD) cost up to 6 months post-recruitment per participant was £578 (£420) for the Neurology group (n=128) and £245 (£172) for the MRI group (n=95), leading to an estimated mean cost difference of £333 (95% CI £253 to £413, p<0.001). The mean cost difference at 12 months increased to £518 (95% CI £401 to £637, p<0.001). When adjusted for baseline and follow-up imbalances between groups, this remained statistically significant. The utilisation of brain MRI improved access to care compared to the Neurology group (p<0.001). Participants in the Neurology group reported higher levels of satisfaction associated with the pathway and led to greater change in care management.</p> <p><b>Conclusion. </b>Direct referral to brain MRI from Primary Care led to cost-savings and quicker access to care but lower satisfaction levels when compared with referral to Neurology services. Further research into the use of brain MRI for a subset of patient population more likely to be reassured by a negative brain scan should be considered.</p>
Data from: The demanding grey zone: sport indices by cardiac magnetic resonance imaging differentiate hypertrophic cardiomyopathy from athlete's heart
Background: We aimed to characterize gender specific left ventricular hypertrophy using a novel, accurate and less time demanding cardiac magnetic resonance (CMR) quantification method to differentiate physiological hypertrophy and hypertrophic cardiomyopathy based on a large population of highly trained athletes and hypertrophic cardiomyopathy patients. Methods and Results: Elite athletes (n=150,>18 training hours/week), HCM patients (n=194) and athletes with hypertrophic cardiomyopathy (n=10) were examined by CMR. CMR based sport indices such as maximal end-diastolic wall thickness to left ventricular end-diastolic volume index ratio (EDWT/LVEDVi) and left ventricular mass to left ventricular end-diastolic volume ratio (LVM/LVEDV) were calculated, established using both conventional and threshold-based quantification method. Whereas 47.5% of male athletes, only 4.1% of female athletes were in the grey zone of hypertrophy (EDWT 13-16mm). EDWT/LVEDVi discriminated between physiological and pathological left ventricular hypertrophy with excellent diagnostic accuracy (AUCCQ:0.998, AUCTQ:0.999). Cut-off value for LVM/LVEDVCQ<0.82 mm×m2/ml and for EDWT/LVEDViTQ<1.27 discriminated between physiological and pathological left ventricular hypertrophy with a sensitivity of 77.8% and 89.2%, a specificity of 86.7% and 91.3%, respectively. LVM/LVEDV evaluated using threshold-based quantification performed significantly better than conventional quantification even in the male subgroup with EDWT between 13-16mm (p<0.001). Conclusions: Almost 50% of male highly trained athletes can reach EDWT of 13 mm. CMR based sport indices provide an important tool to distinguish hypertrophic cardiomyopathy from athlete's heart, especially in highly trained athletes in the grey zone of hypertrophy.
Magnetic resonance imaging reveals human brown adipose tissue is rapidly activated in response to cold
<p class="MsoNoSpacing"><b>Context.</b> In rodents, cold exposure induces the activation of brown adipose tissue (BAT) and the induction of intracellular triacylglycerol (TAG) lipolysis. However, in humans, the kinetics of supraclavicular (SCV) BAT activation and the potential importance of TAG stores remain poorly defined.</p> <p class="MsoNoSpacing"><b>Objective.</b> To determine the time course of BAT activation and changes in intracellular TAG using magnetic resonance imaging (MRI) assessment of the SCV (i.e. BAT depot) and fat in the posterior neck region (i.e. non BAT).</p> <p class="MsoNoSpacing"><b>Design.</b> Cross-sectional.</p> <p class="MsoNoSpacing"><b>Setting.</b> Clinical research centre.</p> <p class="MsoNoSpacing"><b>Patients or Other Participants.</b> Twelve healthy male volunteers ages 18-29 years [BMI=24.7±2.8kg/m<sup>2</sup> and body fat percentage = 25.0±7.4% (both mean±SD)].</p> <p class="MsoNoSpacing"><b>Intervention(s).</b> Standardized whole-body cold exposure (180 minutes at 18<span>°</span>C) and immediate re-warming (30 minutes at 32°C).</p> <p class="MsoNoSpacing"><b>Main Outcome Measure(s).</b> Proton density fat fraction (PDFF) and T2* of the SCV and posterior neck fat pads. Acquisitions occurred at 5-15 minute intervals during cooling and subsequent warming.</p> <p class="MsoNoSpacing"><b>Results.</b> SCV PDFF declined significantly after only 10 minutes of cold exposure [-1.6% (standard error (SE) 0.44%), <i>p</i>=0.007) and continued to decline until 35 minutes after which time it remained stable until 180 minutes. A similar time course was also observed for SCV T2*. In the posterior neck fat (non-BAT) there were no cold-induced changes in PDFF or T2*. Re-warming did not result in a change in SCV PDFF or T2*.</p> <p class="MsoNoSpacing"><b>Conclusions.</b> The rapid cold-induced decline in SCV PDFF suggests that in humans, BAT is activated quickly in response to cold and that TAG is a primary substrate.</p>
Dataset of synthetic, maturation-informed magnetic resonance images of the human fetal brain
<p>This dataset gathers synthetic-yet-highly-realistic T2-weighted magnetic resonance images (MRI) of the fetal brain based on the latest development of our prototype Fetal Brain magnetic resonance Acquisition Numerical phantom that now simulates local heterogeneities within white matter tissues throughout maturation (FaBiAN v2.0).<br>This dataset is associated with the following paper:</p> <p><strong>- Lajous H. et al. (2024) A dataset of synthetic, maturation-informed magnetic resonance images of the human fetal brain.</strong> Submitted to Nature Scientific Data, Pre-print available https://doi.org/10.1101/2024.04.08.588566</p> <p>We propose this unique, extensive fetal MRI dataset of simulated standard clinical fast spin echo sequences in both healthy and pathological neurodevelopmental trajectories to address data scarcity in this sensitive population, and therefore support the continuous endeavor of the community to develop advanced post-processing methods as well as cutting-edge artificial intelligence models. Automated brain tissue annotations of the two-dimensional, low-resolution series as well as super-resolution (SR) reconstructions of the fetal brain volumes are also included.</p> <p><strong>Work using any of these data should cite the following references:</strong></p> <ul> <li>Lajous, H. et al. A dataset of synthetic, maturation-informed magnetic resonance images of the human fetal brain. Submitted to Nature Scientific Data (2024), https://doi.org/10.1101/2024.04.08.588566</li> <li>Lajous, H. et al. Dataset of synthetic, maturation-informed magnetic resonance images of the human fetal brain. Zenodo (2024). 10.5281/zenodo.10940427</li> <li>Lajous, H., le Boeuf Fló, A., Esteban, O. & Bach Cuadra, M. Medical-Image-Analysis-Laboratory/FaBiAN: FaBiAN v2.0 (2.0). Zenodo (2023), 10.5281/zenodo.5471094</li> </ul> <p>This work was supported by the Swiss National Science Foundation through grant 182602, and by the ProTechno Foundation. We acknowledge access to the facilities and expertise of the CIBM Center for Biomedical Imaging, a Swiss research center of excellence founded and supported by Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Ecole Polytechnique Fédérale de Lausanne (EPFL), University of Geneva (UNIGE) and Geneva University Hospitals (HUG).</p> <p>Medical Image Analysis Laboratory - Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland & CIBM Center for Biomedical Imaging. 2024.</p> <p>Note: <em>Terms of use for the original cohort (</em>Fidon, L., Aertsen, M., Emam, D., et al. Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. MICCAI, 2021<em>) are for research and education purposes only.</em></p>
Spinal changes after 5-day dry immersion as shown by magnetic resonance imaging (DI-5-CUFFS)
<p>Supplemental data</p>
Magnetic susceptibility-weighted imaging mapped the migratory route of a paragonimus in brain
<p>A 53-year-old man with a recent history of left temporal lobe hemorrhage presented with weakness of left upper limb for 4 days. Paragonimus eggs were detected in patient's sputum. Work up revealed paragonimiasis, a lung fluke worm infection endemic to East Africa, West Africa and South America which rarely involves in brain. Characteristic tunnel sign was visualized on brain MRI. Notably, susceptibility-weighted imaging revealed a migratory pattern of the parasite from the left temporal lobe to the right parietal lobe and resultant patchy hemorrhage. Treatment with praziquantel resulted in favorable outcome without residual deficits.</p>
Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern
<p>I upload the images of the manuscript "Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern".</p>
Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases
<p>I uploaded the images of the manuscript Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases.</p>
Magnetic imaging with spin defects in hexagonal boron nitride
<p>Data relative to the publication arXiv:2207.10477</p>
iMPI – portable human-sized Magnetic Particle Imaging Scanner for real-time endovascular Interventions
<p>Supporting files for manuscript:</p> <p>"<strong><em>i</em></strong><strong>MPI – portable human-sized Magnetic Particle Imaging Scanner for real-time endovascular Interventions"</strong></p>
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>
On the effect of precession for magnetic differential phase contrast imaging
<p>4D-STEM datasets and processing scripts used for the journal publication "<strong>On the effect of precession for magnetic differential phase contrast imaging</strong>".</p> <p>DOI link to publication: <a href="https://doi.org/10.1016/j.micron.2024.103761">10.1016/j.micron.2024.103761</a></p> <p> </p> <p><strong>Prerequisites</strong></p> <p>The scripts presented below were created using open-source Python packages with specific versions:</p> <ul> <li>hyperspy 1.7.1</li> <li>pyxem 0.14.2</li> <li>fpd 0.2.5 (with scikit-image 0.18)</li> <li>jupyterlab 4.0.7</li> </ul> <p>There is no guarantee that other versions of the listed packages will run the code.</p> <p><strong>Data files</strong></p> <p>In total five zipped (.7z extension) files are included in this repository. The files contain data from the different samples studied with different precession electron diffraction calibrations where applicable. The three samples studied are LSMO, and the corresponding 4D-STEM datasets taken away from a high-symmetry zone axis (<em>LSMO_LZ_data.7z</em>) and on the zone axis (<em>LSMO_HZ_data.7z</em>), FeAl sample (<em>FeAl_data.7z</em>), and scans from an Au TEM alignment grid (<em>AuGrid_data.7z</em>). The <em>precession_azimuths.7z</em> files contains the precession azimuthal circles from the three precession calibrations performed.</p> <p><strong>Processing scripts</strong></p> <p>Three scripts are included in the IPython notebook format (.ipynb extension). The <em>Precession_azimuth_plot.ipynb</em> script plots the precession azimuth for comparison. The <em>Segmentation_script.ipynb</em> is used to process the precession path segmented 4D-STEM datasets, and the <em>DPC_processing.ipynb</em> includes code to perform center of mass and phase correlation processing on the 4D-STEM data to extract differential phase contrast signals.</p>
Replication Data for: (111)-oriented, single crystal diamond tips for nanoscale scanning probe imaging of out-of-plane magnetic fields
<p>Data repository for: <strong>(111)-oriented, single crystal diamond tips for nanoscale scanning probe imaging of out-of-plane magnetic fields</strong></p> <p><em>Data description.pdf </em>describes the uploaded data.<br> <em>Data.xlsx</em> is the data represented in the paper.</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>
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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.