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5,531 results for “ultrasound”
Neural network models for processing of ultrasound rodents recordings
<p>Neural network models for processing of ultrasound rodents recordings to be used with custom software dedicated to detection and classification of USV.</p>
Data from: A causal role of anterior prefrontal-putamen circuit for response inhibition revealed by transcranial ultrasound stimulation in humans
<p>Stopping an inappropriate response requires the involvement of the prefrontal-subthalamic hyperdirect pathway. However, how the prefrontal-striatal indirect pathway contributes to stopping is poorly understood. In this study, transcranial ultrasound stimulation is used to perform interventions in a task-related region in the striatum. Functional magnetic resonance imaging (MRI) reveals activation in the right anterior part of the putamen during response inhibition, and ultrasound stimulation to the anterior putamen, as well as the subthalamic nucleus, results in significant impairments in stopping performance. Diffusion imaging further reveals prominent structural connections between the anterior putamen and the right anterior part of the inferior frontal cortex (IFC), and ultrasound stimulation to the anterior IFC also shows significant impaired stopping performance. These results demonstrate that the right anterior putamen and right anterior IFC causally contribute to stopping and suggest that the anterior IFC-anterior putamen circuit in the indirect pathway serves as an essential route for stopping.</p>
Converting Pixel into millimeter in ultrasound images: Technique and dataset
<p>A new dataset available for the public research community; our dataset includes 2835 images representing three fetal head plans (Trans-cerebellum, Trans-thalamic, and Trans-ventricular). Further, the dataset is large and more diverse regarding fetal planes in various gestational ages (GA). Table 1. provides a descriptive analysis of the dataset that includes the number of samples (N), mean, median, standard deviation (S), the minimum and maximum pixel value in mm, and three percentiles.</p> <p><strong>Please cite the original conference paper of this work.</strong></p> <table align="center"> <thead> <tr> <th> <p><strong>Table 1</strong>: Descriptive analysis for our dataset</p> </th> </tr> </thead> </table> <table align="center"> <thead> <tr> <th> <p><strong>N</strong></p> </th> <th> <p><strong>Mean</strong></p> </th> <th> <p><strong>Median</strong></p> </th> <th> <p><strong>SD</strong></p> </th> <th> <p><strong>Minimum</strong></p> </th> <th> <p><strong>Maximum</strong></p> </th> <th> <p><strong>25th</strong></p> </th> <th> <p><strong>50th</strong></p> </th> <th> <p><strong>75th</strong></p> </th> </tr> </thead> <tbody> <tr> <td> <p>2835</p> </td> <td> <p>0.144</p> </td> <td> <p>0.130</p> </td> <td> <p>0.0441</p> </td> <td> <p>0.0600</p> </td> <td> <p>0.330</p> </td> <td> <p>0.110</p> </td> <td> <p>0.130</p> </td> <td> <p>0.180</p> </td> <td> <p> </p> </td> </tr> </tbody> </table> <p> </p> <p> </p>
Ultrasound evaluation of the airway in the ED: a feasibility study.
<p>INTRODUCTION Recognition of the difficult airway is a critical element of emergency practice. Mallampati score (MS) and body mass index (BMI) are not always predictive and they may be unavailable in critically ill patients. Ultrasonography provides high-resolution images that are rapidly obtainable, mobile, and non-invasive. Studies have shown correlation of ultrasound measurements with difficult laryngoscopy, however none have been performed in the Emergency Department (ED) using a consistent scanning protocol.</p> <p>OBJECTIVES This study seeks to determine the feasibility of ultrasound measurements of the upper airway performed in the ED by emergency physicians, the interrater reliability of such measurements, and their relationship with Mallampati score and BMI.</p> <p>METHODS A convenience sample of volunteer ED patients with no known airway issues, aged >18 years, had images taken of their airway using a standardized ultrasound scanning protocol by 2 EM ultrasound fellowship trained physicians. Measurements consisted of tongue base, tongue base-to-skin, epiglottic width and thickness, and pre-epiglottic space.. Mean and standard deviation (SD) was used to summarize measurements. Inter-rater reliability was assessed by intraclass correlation coefficients (ICCs). Analysis of variance with linear contrasts was used to compare measurements with Mallampati scores and linear regression with BMI.</p> <p>RESULTS Of 39 participants, 50% were female, 50% white, 42% black, with median age 32.5 years (range 19-90) and BMI 26.0 (range 19-47). Mean ± SD for each measurement (mm) were as follows: tongue base (44.6 ± 5.1), tongue base-to-skin (60.9 ± 5.3), epiglottic width (15.0 ± 2.8) and thickness (2.0 ± 0.37), and pre-epiglottic space (11.4 ± 2.4). ICCs ranged from 0.76-0.88 for all measurements except epiglottis thickness (ICC=0.57). Tongue base and tongue base-to-skin thickness were found to increase with increasing Mallampati score (p=.04, .01), whereas only tongue-to-skin thickness was loosely correlated with BMI (r=.38).</p> <p>CONCLUSION A standardized ultrasound scanning protocol demonstrates that the airway can be measured by emergency sonologists with good inter-operator reliability in all but epiglottic thickness. The measurements correlate with Mallampati score but not with BMI. Future investigation might focus on ultrasound evaluation of the airway in patients receiving airway management to determine whether ultrasound can predict challenging or abnormal airway anatomy prior to laryngoscopy.</p>
Schlieren images of Ultrasound
Open the record for dataset details and reuse information.
Automated measurement of fetal head circumference using 2D ultrasound images
<p>For more information about this dataset go to: <a href="https://hc18.grand-challenge.org/">https://hc18.grand-challenge.org/</a></p>
[Dataset] Electroelastic guided wave dispersion in piezoelectric plates: spectral methods and laser-ultrasound experiments
<p>Research data for the purpose of reproducing the results presented in the journal publication titled "Electroelastic guided wave dispersion in piezoelectric plates: spectral methods and laser-ultrasound experiments"</p>
dataset for ultrasound pregnancy investigation v0.0.4
<p>dataset for ultrasound pregnancy investigation </p>
test dataset for ultrasound pregnancy investigation
<p>test dataset for ultrasound investigation </p>
User Study Data for "Enhancing Ultrasound Haptics with Parametric Audio Effects"
<p>Data from an experiment investigation the perception of ultrasound haptic and parametric audio stimuli, as described in a paper at ACM ICMI 2021.</p>
Dataset for: Buckling of lipidic ultrasound contrast agents under quasi-static load
<p>Collapse of lipidic ultrasound contrast agents under high-frequency compressive load has been historically interpreted by the vanishing of surface tension. By contrast, buckling of elastic shells is known to occur when costly compressible stress is released through bending. Through quasi-static compression experiments on lipidic shells, we analyze the buckling events in the framework of classical elastic buckling theory and deduce the mechanical characteristics of these shells. They are then compared to that obtained through acoustic characterization.</p>
Shear Shock Waves Mediate Haptic Holography via Focused Ultrasound - Vibrometry Measurements with Elastomer Plate
<p><strong>Vibrometry Measurements with Elastomer Plate</strong></p> <p>This dataset is part of a larger repository (DOI: 10.5281/zenodo.5248082) which houses links to the data used in the publication "Shear Shock Waves Mediate Haptic Holography via Focused Ultrasound" <a href="http://www.science.org/doi/10.1126/sciadv.adf2037">(Reardon et al., 2023)</a>. If you use these data please cite our publication (<a href="http://www.science.org/doi/10.1126/sciadv.adf2037">http://www.science.org/doi/10.1126/sciadv.adf2037</a>).</p> <p>This dataset contains the response of a tissue phantom (Gelatin #2, Humimic) to focused ultrasound (UHEV1, Ultrahaptics). The data is provided as .mat files. The files are separated by scanning path (linear and zigzag trajectories) and scanning speed. Details about our experimental procedure can be found in our publication.</p> <p>IMPORTANT - The data provided is the unprocessed output from a laser doppler vibrometer (Ometron, model 8330). The data is NOT time-aligned and must be reconstructed using the reference signal and the map of the measurement locations.</p> <p> </p> <p><strong>Line Paths</strong> - Focused ultrasound scanned along a linear path on the surface of the tissue phantom at one of 5 speeds - 2 m/s, 4 m/s, 7 m/s, 11 m/s, and 15 m/s. The scanning speed is designated in the filename.</p> <p><strong>Zigzag Paths</strong> - Focused ultrasound scanned along a zigzag path on the surface of the tissue phantom with longitudinal scanning speed <em>v<sub>l</sub></em> = 3, 5 m/s. At both speeds, the ultrasound focus was modulated transverse to its primary motion direction at a speed, <em>v<sub>mod</sub></em>, of +-2.5 m/s yielding a zigzag path (2 cm path width). The longitudinal scanning speed is designated in the filename.</p> <p> </p> <p><strong>Data Fields</strong></p> <p><strong>y</strong> (MxN) - 2D array containing the tissue phantom velocity normal to the laser doppler vibrometer (in mm/s) for N measurement locations. All repetitions are included as a single time-domain signal of M timepoints</p> <p><strong>ref</strong> (MxN) - 2D array containing a reference voltage signal taken from the ultrasound phased array. Each of the N measured locations has a reference signal. The beginning of the reference signal identifies the start of a new repetition.</p> <p><strong>nRepetitions</strong> - Number of stimulus repetitions (reps can be averaged to improve the measurement signal-to-noise ratio).</p> <p><strong>fs</strong> - Laser doppler vibrometer sampling rate (in Hz)</p> <p><strong>measurementLocations</strong> (Nx2) - 2D measurement locations on the gelatin surface (x,y; in m) for each of N measurement locations</p>
Synthetic post-dive precordial and subclavian Doppler ultrasound using Kisman-Masurel and Spencer grades
<p><span>Doppler ultrasound (DU) measurements are used to detect and evaluate venous gas emboli (VGE) formed after decompression. Automated analysis methodologies of these VGE have been developed on varying real-world datasets of limited size and without ground truth values preventing objective evaluation. We develop and report a method to generate synthetic post-dive data using DU signals collected in both precordium and subclavian vein with varying degrees of bubbling matching field-standard grading metrics. This method is adaptable, modifiable, and reproducible, allowing for researchers to tune the produced dataset for their desired purpose. We provide the baseline Doppler recordings and code required to generate synthetic data for researchers to reproduce our work and improve upon it. We also provide a set of pre-made synthetic post-dive DU data spanning six scenarios representing the Spencer and Kisman-Masurel (KM) grading scales as well as precordial and subclavian DU recordings. By providing a method for synthetic post-dive DU data generation, we aim to improve and accelerate the development of signal processing techniques for VGE analysis in Doppler ultrasound. </span></p>
Dataset: GLS variation by ultrasound frequency change
<p>This is the dataset containing the global longitudinal strain (GLS) values measured by 3 different ultrasound frequency presets. This was used to investigate the influence of ultrasound frequency on GLS measurement by 2D-speckle tracking echocardiography. </p>
DATA SET: In vivo characterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle through ultrasound-guided hybrid near-infrared spectroscopies.
<p>This repository contains the data sets of the article:</p><p>L. Cortese et al., "In vivo characterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle through ultrasound-guided hybrid near-infrared spectroscopies."</p>
The Randomized Controlled Trial of Inferior Vena Cava Ultrasound-guided Fluid Management in Septic Shock Resuscitation
ClinicalTrials.gov study NCT03020407. IPD Sharing: NO. Countries: 1. Publications: 1.
Ultrasound Predictors of Difficult Airway in Adults
ClinicalTrials.gov study NCT07383610. IPD Sharing: NO. Countries: 1. Publications: 0.
Radial Artery Access With Ultrasound Trial
ClinicalTrials.gov study NCT01605292. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Determination of Abnormal Fetal Growth or Amniotic Fluid With Third Trimester Ultrasounds in Uncomplicated Pregnancies: A Randomized Trial
ClinicalTrials.gov study NCT02702999. IPD Sharing: NO. Countries: 1. Publications: 1.
Evolution of Endometriosis Lesions Followed by Ultrasound and Quality of Life of Patients: Factors That Influence Disease Progression in a Prospective Cohort
ClinicalTrials.gov study NCT07282990. IPD Sharing: YES. Countries: 1. Publications: 15.
ScienceDex guides
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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.