Search Constraints
« Previous |
131 - 138 of 138
|
Next »
Number of results to display per page
View results as:
Search Results
-
- Creator:
- Kue, Jessie and Meurer, William
- Description:
- NHAMCS is an annual survey of emergency department visits. and SAS programs are required to read this data.
- Keyword:
- emergency department and hypertension
- Citation to related publication:
- Kue, J., & Meurer, W. (2020). Association between blood pressure, race, ethnicity and likelihood of admission to the hospital from United States emergency departments – A cross sectional study. F1000Research, 9, 1116. https://doi.org/10.12688/f1000research.24757.1
- Discipline:
- Health Sciences
-
- Creator:
- Wen, Ai, Foxman. Betsy, Srinivasan, Usha , Goldberg, Deborah , Marrs, Carl F , Owen, John, Wing, Deborah A., Misra, Dawn , Cronenwett, Anna , Ponnaluri, Sreelatha, Miles-Jay, Arianna, Bucholz, Brigette, and Abbas, Khadija
- Description:
- This is the bacterial DNA data extracted from the gram stain slides. The targeted bacteria genera and species include: Atopobium spp., bacterial vaginosis-associated bacterium (BVAB) types 1, 2 and 3 in the order Clostridiales, Escherichia coli, Gardnerella vaginalis, Group B Streptococcus, Lactobacillus spp., Mobiluncus spp., Mycoplasma spp., and Ureaplasma spp. We also used a primer set for Lactic Acid Bacteria (LAB) that includes lactic acid producing bacteria of the genera Lactobacillus, Pediococcus, Leuconostoc, and Weissella. We calculated the relative proportion of each bacterial taxon using the bacterial copies measured by each specific bacteria primer divided by the total bacterial copies. The limit of detection was 100 copies and readings lower than the limit were considered negative
- Citation to related publication:
- Wen A, Srinivasan U, Goldberg D, Owen J, Marrs CF, Misra D, Wing DA, Ponnaluri S, Miles-Jay A, Bucholz B, Abbas K, Foxman B. Selected vaginal bacteria and risk of preterm birth: an ecological perspective. J Infect Dis. 2014 Apr 1;209(7):1087-94. https://doi.org/10.1093/infdis/jit632. Epub 2013 Nov 22. PMID: 24273044; PMCID: PMC3952673. and Foxman B, Wen A, Srinivasan U, Goldberg D, Marrs CF, Owen J, Wing DA, Misra D. Mycoplasma, bacterial vaginosis-associated bacteria BVAB3, race, and risk of preterm birth in a high-risk cohort. Am J Obstet Gynecol. 2014 Mar;210(3):226.e1-7. https://doi.org/10.1016/j.ajog.2013.10.003. Epub 2013 Oct 4. PMID: 24096128; PMCID: PMC3943817.
- Discipline:
- Health Sciences
-
- Creator:
- Figueroa, Carlos A., Computational Vascular Biomechanics Lab, University of Michigan, and et al.
- Description:
- This collection concerns the CRIMSON (CardiovasculaR Integrated Modelling and SimulatiON) software environment. CRIMSON provides a powerful, customizable and user-friendly system for performing three-dimensional and reduced-order computational haemodynamics studies via a pipeline which involves: 1) segmenting vascular structures from medical images; 2) constructing analytic arterial and venous geometric models; 3) performing finite element mesh generation; 4) designing, and 5) applying boundary conditions; 6) running incompressible Navier-Stokes simulations of blood flow with fluid-structure interaction capabilities; and 7) post-processing and visualizing the results, including velocity, pressure and wall shear stress fields. , The minimum specifications to run CRIMSON are: Any AMD64 CPU (note: Intel Core i series are AMD64), Windows (only tested on Windows 10 but might work on Windows 7), 8 GB of RAM , If you are running non-trivial models you will want to have: Quad core CPU or higher, Solid state drive for storing data, Windows, 16 GB of RAM, Dedicated discrete GPU for rendering models. , and Software in this collection is a snapshot; please visit https://github.com/carthurs/CRIMSONGUI & www.crimson.software for more general information and the most up to date version of the software.
- Keyword:
- Blood Flow Simulation, Patient-specific, Open-source Software, Image-based simulation, Cardiovascular Medical Image, Segmentation, and Finite Element Simulation
- Citation to related publication:
- CRIMSON: An Open-Source Software Framework for Cardiovascular Integrated Modelling and Simulation C.J. Arthurs, R. Khlebnikov, A. Melville, et al. bioRxiv 2020.10.14.339960; doi: https://doi.org/10.1101/2020.10.14.339960
- Discipline:
- Health Sciences and Engineering
4Works -
Lu-177 DOTATATE Anonymized Patient Datasets
User Collection- Creator:
- Dewaraja, Yuni K and Van, Benjamin J
- Description:
- This collection is comprised of a number of works that collectively represent the imaging studies and information necessary for dosimetric analysis of a patient treated with Lutathera. All works may be used as standalone datasets or in conjunction with the others in this collection depending on the analysis performed. Files are stored using the DICOM standard widely accepted for storage and transmission of medical images and related information. All patient private information has been anonymized using MIM commercial software (MIM Software Inc.). Data from 2 patients, referred to as patient 4 and patient 6, has been provided in this collection and is divided among 6 works as outlined below:, 1) Pre-Therapy Diagnostic Images. Description: Patient diagnostic scans performed prior to Lutathera treatment. Used for identifying lesions and measuring progression. Note that the date of the baseline scan may be several months before the Lutathera treatment and changes in the anatomy are possible. Files: (1) Ga68 Dotatate PET/CT, Either: (1) MRI, (1) standalone diagnostic CT, 2) Planar Whole Body Scans. Description: Planar whole body Lu-177 scans taken at 4 time points within a week after treatment. Two views (Anterior and Posterior) and 3 energy windows (one main window at 208 keV and 2 adjacent scatter windows) are available for each time point. The units of this image is counts. Energy window information, acquisition data/time and duration can be found in DICOM header. Files: (6) individual images at each time point (24 total images per patient) , 3) SPECT/CT Scans. Description: Lu-177 SPECT/CT scans at 4 time points within a week after treatment (same time points as the planar scans). Images were acquired on a Siemens Intevo system and reconstructed using xSPECT Quant. The units of this image is Bq/mL. Information on the reconstruction, acquisition date/time, duration, Lu-177 administration time and activity can be found in the DICOM header. Files: (1) Folder with reconstructed SPECT slices per time point (4 folders total per patient), (1) Folder containing co-registered CT slices per time point (4 folders total per patient), 4) Lesion and Organ Volumes of Interest. Description: DICOM RT structure files containing organ and lesion volumes of interest (VOI) that were defined on the CT of the scan1 SPECT/CT in 3). Organs were defined using semi-automatic tools (atlas based and CNN-based) while lesions were defined manually by a radiologist guided by baseline scans. Only lesions >2 cc were defined. Files: (1) File containing organ contours, (1) File containing lesion contours, 5) Time Integrated Activity Maps. Description: A DICOM file containing the time-integrated activity map over all 4 time points within a week after treatment. This combines the SPECT/CT scans provided in 3) into a single integrated activity map. This map was generated via the MIM MRT Dosimetry package: The 4 time points were registered to the reference SPECT scan (time point 1) using a contour intensity based SPECT alignment and the voxel-level time-activity data was fit using exponential functions. Voxel-level integration was performed to generate the TIA map. The units of this image is Bq/mL * sec. Files: (1) Folder with Time-integrated activity image per patient, and 6) Projection Data and CT based Attenuation Coefficient Maps. Description: SPECT projection data for each of the 4 Lutathera scans taken within a week after treatment is provided in 3 forms: unaltered, Siemens [Reformatted], and Siemens [Advanced]. The difference between the Projections and the [Advanced] Projections is that the [Advanced] consists of uncorrected raw projection data and the other the corrected projection data (e.g. camera uniformity corrections). The [Advanced] projections are used in xSPECT reconstruction (where all corrections are done during the reconstruction), while the other is used in Flash 3D reconstruction. CT-based attenuation coefficient maps (mumaps) are provided for each of the 4 scans taken within a week after treatment. Two methods are provided for each mumap: xSPECT and F3D as the matrix size is different for the 2 cases (256 x 256 for xSPECT and 128 x 128 for Flash3D). Files: (3) Folders containing raw SPECT projections, (2) Folders containing CT attenuation coefficient maps (mumaps)
- Keyword:
- Lu-177, Lutathera, Dosimetry, Radionuclide, and CTMRIPET
- Discipline:
- Health Sciences
6Works -
- Creator:
- Lim, Hongki and Dewaraja, Yuni K.
- Description:
- Internally administered targeted radionuclide therapy (TRT) with radio-labelled targeting molecules that deliver cytotoxic radiation to tumor has been used successfully to treat multiple cancers. Lu-177, used increasingly in TRT, emits both beta particles that deliver the therapeutic effect. FDA recently approved a fixed activity (4 cycles of 7.4 GBq/cycle as in NETTER -1) administered every 8 weeks. With the patient studies under this treatment, we collected CT images and corresponding volume of interest (organs, lesions) contours.
- Keyword:
- Lu-177, CT, Segmentation, Organ, Tumor, Label
- Discipline:
- Health Sciences
-
- Creator:
- Meurer, William
- Description:
- SPSS is required to access processed dataset in .sav format. Model output is provided as a word document, and Qualtrics survey instrument is included as PDF and .docx, where .docx version contains survey logic and question numbers.
- Keyword:
- Diagnostic Testing, Emergency Medicine, and Financial Incentives
- Citation to related publication:
- Iyengar, R., Winkels, J., Smith, C. M., Meka, A. P., MD, Porath, J. D., MD, & Meurer, W. J., MD, MS. (2019, January 21). The Effect of Financial Incentives on Patient Decisions to Undergo Low-Value Head CT Scans. https://doi.org/10.31219/osf.io/4mdfw
- Discipline:
- Health Sciences
-
- Creator:
- Crisp, Dakota N., Saggio, Maria L., Scott, Jared, Stacey, William C., Nakatani, Mitsuyoshi, Gliske, Stephen V., and Lin, Jack
- Description:
- This data and scripts are meant to test and show seizure differentiation based on bifurcation theory. A zip file is included which contains real and simulated seizure waveforms, Matlab scripts, and metadata. The matlab scripts allow for visual review validation and objective feature analysis. The file “README.txt” provides more detail about each individual file within the zip file. and Data citation: Crisp, D.N., Saggio, M.L., Scott, J., Stacey, W.C., Nakatani, M., Gliske, S.F., Lin, J. (2019). Epidynamics: Navigating the map of seizure dynamics - Code & Data [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/ejhy-5h41
- Keyword:
- Bifurcation, Epilepsy, Seizure, and Divergence
- Citation to related publication:
- Saggio, M.L., Crisp, D., Scott, J., Karoly, P.J., Kuhlmann, L., Nakatani, M., Murai, T., Dümpelmann, M., Schulze-Bonhage, A., Ikeda, A., Cook, M., Gliske, S.V., Lin, J., Bernard, C., Jirsa, V., Stacey, W., 2020. In pre-print. Epidynamics characterize and navigate the map of seizure dynamics. bioRxiv 2020.02.08.940072. https://doi.org/10.1101/2020.02.08.940072
- Discipline:
- Engineering, Science, and Health Sciences
-
- Creator:
- Almazroa, Ahmed
- Description:
- The dataset includes 3 different files: 1) MESSIDOR dataset file contains 460 original images and 460 images for every single ophthalmologist manual marking in total of 3220 images for the entire file. 2) Bin Rushed Ophthalmic center file and contains 195 original images and 195 images for every single ophthalmologist manual marking in total of 1365 images for the entire file. 3) Magrabi Eye center file and contains 95 original images and 95 images for every single ophthalmologist manual marking in total of 665 images for the entire file. The total of all the dataset images are 750 original images and 4500 manual marked images. The images are saved in JPG and TIFF format., NOTE ON THE DATA: Depositor accidentally left out 50 images from the BinRushed folder from the original deposit. A corrected BinRushed folder that includes these 50 images was added to this data set on May 21, 2018., and NOTE ON DOWNLOADING: The file "MESSIDOR.zip" is too large to be downloaded through Deep Blue Data. Please use Globus to download this file.
- Keyword:
- Medical imaging, Optic cup, Image processing, Optic disc, Glaucoma, Optic nerve head, Image segmentation, Fundus images, and Automated glaucoma screening system
- Citation to related publication:
- Ahmed Almazroa, Sami Alodhayb, Essameldin Osman, Eslam Ramadan, Mohammed Hummadi, Mohammed Dlaim, Muhannad Alkatee, Kaamran Raahemifar, Vasudevan Lakshminarayanan, "Retinal fundus images for glaucoma analysis: the RIGA dataset", Proc. SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105790B (6 March 2018); doi: 10.1117/12.2293584; https://doi.org/10.1117/12.2293584
- Discipline:
- Health Sciences