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217 results for “T2”
T2-weighted Kidney MRI Segmentation
<p>A dataset containing 100 T<sub>2</sub>-weighted abdominal MRI scans and manually defined kidney masks. This MRI sequence is designed to optimise contrast between the kidneys and surrounding tissue to increase the accuracy of segmentation. Half of the acquisitions were acquired of healthy control subjects while the other half were acquired from Chronic Kidney Disease (CKD) patients. Ten of the subjects were scanned five times in the same session to enable assessment of the precision of Total Kidney Volume (TKV) measurements. More information about each subject can be found in the included csv file. This dataset was used to train a Convolutional Neural Network (CNN) to automatically segment the kidneys. </p> <p>For more information about the dataset please refer to <a href="https://doi.org/10.1002/mrm.28768">this article.</a></p> <p>For an executable that allows automated segmentation of the kidneys from this dataset please refer to <a href="https://github.com/alexdaniel654/Renal_Segmentor">this software.</a></p>
Dataset T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions
<p>This dataset provides various acquisitions for T2 mapping of the MnCl2 array of the NIST phantom at 1.5T. Data were acquired on a MAGNETOM Sola (Siemens Healthcare, Erlangen, Germany), with an 18-channel body coil and a 32-channel spine coil (12 elements used). It gathers original acquisitions from Lajous H. et al. (2020) T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions. In: Martel A.L. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. MICCAI 2020. Lecture Notes in Computer Science, vol 12262. Springer, Cham. https://doi.org/10.1007/978-3-030-59713-9_12.</p> <p>The dataset is composed of DICOM images from:</p> <p>i) Gold-standard single-echo spin echo (SE) sequences acquired at variable TE;</p> <p>ii) Alternative reference multi-echo spin echo (MESE) acquisitions;</p> <p>iii) Half-Fourier Acquisition Single-shot Turbo spin Echo (HASTE) images at variable TE in three orthogonal orientations.</p> <p>The acquisition parameters are further detailed in the ReadMe.txt file provided along with the images.</p> <p>These acquisitions were repeated independently on three different days during the month of January 2020.</p> <p>These data are made publicly available as a support for further reproducibility studies as well as for the validation of new T2 relaxometry strategies.</p> <p>Works using any of these data should cite the following two references:</p> <p>- Lajous H. et al. (2020) T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions. In: Martel A.L. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. MICCAI 2020. Lecture Notes in Computer Science, vol 12262. Springer, Cham. https://doi.org/10.1007/978-3-030-59713-9_12</p> <p>- Lajous, Hélène, Ledoux, Jean-Baptiste, Hilbert, Tom, van Heeswijk, Ruud B., & Bach Cuadra, Meritxell. (2020). Dataset T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3931812</p>
Penicillium fuscoglaucum Pf_T2 Genome Assembly and Annotation
<p>During routine culturing on selective media in the lab, we obtained an isolate of P. fuscoglaucum Pf_T2 and sequenced its genome. The Pf_T2 genome is far superior to available genomic resources for the species. Our assembly exhibits a length of 35.1 Mb, a BUSCO score of 97.9% complete, and consists of 5 scaffolds/contigs representing the four expected chromosomes. It was determined that the Pf_T2 genome was colinear with a type specimen P. fuscoglaucum, and contained a lineage specific, intact cylcopaizonic acid (CPA) gene cluster.</p>
Cipher Machine Pocket Terminal TST APT 60 (Inv. 2017-443T2)
<p>This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine.</p> <p>object details:<br> name: Pocket Terminal TST APT 60<br> Inv.-No. of the Deutsches Museum: 2017-443T2</p> <p>file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.144<br> Y pixel spacing: 0.144<br> Z pixel spacing: 0.144<br> grid size x: 395<br> grid size y: 534<br> grid size z: 675<br> color depth: 16Bit</p> <p>ownership & image acquisition:<br> project: <a href="https://digital.deutsches-museum.de/en/projects/3d-cipher">3D-Cipher</a><br> collection: <a href="https://digital.deutsches-museum.de">Deutsches Museum</a><br> IP holder: Deutsches Museum<br> license: <a href="https://creativecommons.org/licenses/by/4.0/deed.en">Creative Commons BY-SA 4.0</a><br> scanning facility: <a href="https://www.iis.fraunhofer.de/en/ff/zfp.html">Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS</a><br> scanning device: High Energy CT XXL-CT<br> Funding attribution: <a href="https://www.bmbf.de/bmbf/en">German Federal Ministry of Education and Research</a><br> acknowledgement: <a href="https://www.cryptomuseum.com">CryptoMuseum</a> (as main source for informations about the cipher machines)</p>
Cipher System T310/50, power supply unit (Inv. 1997-15T2)
<p>This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine.</p> <p>object details:<br> name: Cipher System T310/50, power supply unit<br> Inv.-No. of the Deutsches Museum: 1997-15T2</p> <p>file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.668<br> Y pixel spacing: 0.669<br> Z pixel spacing: 0.500<br> grid size x: 1715<br> grid size y: 1626<br> grid size z: 1117<br> color depth: 16Bit</p> <p>ownership & image acquisition:<br> project: <a href="https://digital.deutsches-museum.de/en/projects/3d-cipher">3D-Cipher</a><br> collection: <a href="https://digital.deutsches-museum.de">Deutsches Museum</a><br> IP holder: Deutsches Museum<br> license: <a href="https://creativecommons.org/licenses/by/4.0/deed.en">Creative Commons BY-SA 4.0</a><br> scanning facility: <a href="https://www.iis.fraunhofer.de/en/ff/zfp.html">Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS</a><br> scanning device: High Energy CT XXL-CT<br> Funding attribution: <a href="https://www.bmbf.de/bmbf/en">German Federal Ministry of Education and Research</a><br> acknowledgement: <a href="https://www.cryptomuseum.com">CryptoMuseum</a> (as main source for informations about the cipher machines)</p>
Fig. 112. T2. A in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 112. T2. A. Lasioglossum (D.) petrellum (Cockerell, 1903), ♂, with weaker microsculpture and distinct punctures throughout. B. L. (D.) droegei Gibbs, 2009, ♂, with strong microsculpture and obscure punctures towards apical rim. Scale bars: 0.5 mm.
Annotated T2-weighted MR images of the Lower Spine
<p><strong>Annotated T2-weighted MR images of the Lower Spine</strong></p> <p>Chengwen Chu, Daniel Belavy, Gabriele Armbrecht, Martin Bansmann, Dieter Felsenberg, and Guoyan Zheng </p> <p><strong>Introduction</strong><br /> The Institute for Surgical Technology and Biomechanics, University of Bern, Switzerland, Charité - University Medicine Berlin, Centre of Muscle and Bone Research, Free University & Humboldt-University Berlin, Germany, Centre for Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, Deakin University Burwood Campus, Australia and Institut für Diagnostische und Interventionelle Radiologie, Krankenhaus Porz Am Rhein gGmbH, Köln, Germany, are making this dataset available as a resource in the development of algorithms and tools for spinal image analysis.</p> <p><strong>Description</strong><br /> The database consists of T2-weighted turbo spin echo MR spine images of 23 anonymized patients, each containing at least 7 vertebral bodies (VBs) of the lower spine (T11 – L5). For each vertebral body, reference manual segmentation is provided in the form of a binary mask. All images and binary masks are stored in the Neuroimaging Informatics Technology Initiative (NIFTI) file format, see details at http://nifti.nimh.nih.gov/. Image files are stored as "Img_xx.nii" while the associated annotation files are stored as "Img_xx_Labels.nii", where "xx" is the internal case number for the patient. </p> <p>Image annotations were prepared by Mr. Chengwen Chu (no professional training in radiology). </p> <p><strong>Acknowledgements</strong></p> <ul> <li>The acquisition of original images was supported by the Grant 14431/02/NL/SH2 from the European Space Agency, grant 50WB0720 from the German Aerospace Center (DLR) and the Charité Universitätsmedizin Berlin.</li> <li>Preparation of this data collection was made possible thanks to the funding from the Swiss National Science Foundation (SNSF) through project: 205321 157207/1.</li> </ul> <p><strong>Reference</strong><br /> C. Chu, D. Belavy, W. Yu, G. Armbrecht, M. Bansmann, D. Felsenberg, and G. Zheng, “Fully Automatic Localization and Segmentation of 3D Vertebral Bodies from CT/MR Images via A Learning-based Method”, <strong>PLoS One</strong>. 2015 Nov 23;10(11):e0143327. doi: 10.1371/journal.pone.0143327. eCollection 2015.</p>
MSME T2 data from the Ferret Interactive Integrated Neurodevelopment Atlas
<p>The first days after birth in ferrets provide a unique view of the development of a complex brain. Unlike mice, ferrets develop a rich pattern of deep neocortical folds and cortico-cortical connections. Unlike humans and other primates, whose brains are well differentiated and folded at birth, ferrets are born with a very immature and completely smooth neocortex: folds, neocortical regionalisation and cortico-cortical connectivity develop in ferrets during the first days after birth. After a period of fast neocortical expansion, during which brain volume increases by up to a factor of 4 in 2 weeks, the ferret brain reaches its adult volume at about 6 weeks of age. This dataset contains brain MRI T2 data from 28 ferrets from P0 to Adults. It can be visualised at http://brainbox.pasteur.fr/project/FIIND.</p>
FRACTESUS_UoB_73W_KJc_MCT_-30_T2
<div>Fractesus project. Fracture test mini-CT. Raw data 73W. UoB. </div> <div> <div> <p> </p> </div> </div>
Dataset: T2 Biosystems, Inc. (TTOO) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Validation of a standardized MRI method for liver fat and T2* quantification
<p><strong>Dataset description:</strong> These data have been uploaded and shared as part of the manuscript <em>“Validation of a standardized MRI method for liver fat and T2* quantification, Chloe Hutton, Michael L. Gyngell, Matteo Milanesi, Alexandre Bagur, and Michael Brady, Perspectum Diagnostics, Oxford, United Kingdom", which was submitted for publication to PLOS ONE on August 27th 2018.</em></p> <p><strong>Details:</strong> The LMSIDEAL_Results.zip file extracts into 28 MATLAB files (MATLAB R2017b) corresponding to LMS IDEAL PDFF results calculated as described in the above manuscript for 28 sets of publicly-available phantom data available from another repository. The original phantom data can be accessed from (<a href="http://dx.doi.org/10.5281/zenodo.48266)">http://dx.doi.org/10.5281/zenodo.48266)</a> and are described in detail in [Hernando et al., Magn Reson Med. 2017;77:1516-1524. doi: 10.1002/mrm.26228. Epub 2016 Apr 15.].</p> <p>To summarise, the original phantom data were acquired using one phantom at six sites, covering: 3 vendors (GE Healthcare, Siemens and Philips); 2 field strengths (1.5T and 3T); and 2 protocols. One of the six sites had two sets of data (one at the beginning of the phantom study and one at the end), to give (6+1)x2x2=28 sets of data in total. The phantom consisted of 11 vials with oil/water concentrations: 0%, 2.6%, 5.3%, 7.9%, 10.5%, 15.7%, 20.9%, 31.2%, 41.3%, 51.4%, 100%. The data from each system, and for each protocol, involved 6 echoes of complex-valued multi-echo gradient echo MR images.</p> <p>Each of the 28 LMSIDEAL_Results_* MATLAB files contains 3 MAT files:</p> <p>LMSIDEAL_PDFF - contains PDFF maps (sized X x Y x 3 slices)</p> <p>ROI - contains x,y coordinates for each ROI (sized 2 x 11) (circular ROI with diameter approximately = 19.5mm)</p> <p>MEAN - contains mean for each slice and each ROI (sized 3 x 11)</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Figure 1. Trachypauropus cordatus. A. Habitus, ventral view. B. Antennae. C. Globulus, g. D. Bothriotrichia T1, E. T2, F. T3. G in First record of Trachypauropus cordatus (Scheller, 1974) (Tetramerocerata: Eurypauropodidae) in South America, with a summary of Pauropoda in Colombia
Figure 1. Trachypauropus cordatus. A. Habitus, ventral view. B. Antennae. C. Globulus, g. D. Bothriotrichia T1, E. T2, F. T3. G. Pygidial tergum, st = stylus, ap= anal plate (dorsal). H. end of pygidial tergum (dorsal). I. Pygidial sternum (ventral). Scale bar: 100 µm. / A. Hábito, vista ventral. B. Antena. C. Globulus, g. D. Botriotrichia T1, E. T2, F. T3. G. Tergo del pigidio (dorsal), st = stylo, ap= placa anal, H. parte final del tergo pigidal (dorsal). I. Esterno pigidial. Escala: 100 µm.
Fig. 4. Female metasoma comparison. A. Agapostemon angelicus Cockerell, 1924. B. A. subtilior Cockerell, 1898. C. A. texanus Cresson, 1872 s. s. D. A. angelicus, T1 and T2 in Taxonomy of Agapostemon angelicus and the A. texanus species complex (Hymenoptera, Halictidae) in the United States
Fig. 4. Female metasoma comparison. A. Agapostemon angelicus Cockerell, 1924. B. A. subtilior Cockerell, 1898. C. A. texanus Cresson, 1872 s. s. D. A. angelicus, T1 and T2, with red arrow pointing to lateral areas basal to premarginal line with denser punctures. E. A. subtilior, T1 and T2, with red arrow pointing to area of sparser punctures. F. A. texanus s. s., T1 and T2, with red arrow pointing to area of denser punctures. Scale bars: 1 mm.
Fig. 117. T2. A in Revision of the Nearctic species of the Lasioglossum (Dialictus) gemmatum species complex (Hymenoptera: Halictidae)
Fig. 117. T2. A. Lasioglossum egulare (Robertson, 1890), ♂, with dense punctures up to premarginal line sharply contrasting with impunctate apical rim. B. L. diabolicum sp. nov., ♂, with punctures becoming more sparsely punctate near and on premarginal line and not sharply contrasting with apical rim. Scale bars = 0.5 mm.
Fig. 112. T2. A in Revision of the Nearctic species of the Lasioglossum (Dialictus) gemmatum species complex (Hymenoptera: Halictidae)
Fig. 112. T2. A. Lasioglossum pseudotegulare (Cockerell, 1896), ♂, punctures nearly touching in centre. B. L. stictaspis (Sandhouse, 1923), ♂, punctures not close to touching. Scale bars = 0.5 mm.
Fig. 109. T1–T2. A in Revision of the Nearctic species of the Lasioglossum (Dialictus) gemmatum species complex (Hymenoptera: Halictidae)
Fig. 109. T1–T2. A. Lasioglossum tegulariforme (Crawford, 1907), ♂, T1 more sparsely punctate than T2 and apical rims impunctate. B. L. helianthi (Cockerell, 1916), ♂, T1 and T2 uniformly punctate with some punctures on apical rims. Scale bars = 0.5 mm.
Fig. 80. T1–T2 apical rims. A in Revision of the Nearctic species of the Lasioglossum (Dialictus) gemmatum species complex (Hymenoptera: Halictidae)
Fig. 80. T1–T2 apical rims. A. Lasioglossum perparvum (Ellis, 1914), ♀, apical rims with some fine punctures and short setae (arrow). B. L. magnitegula sp. nov., ♀, apical rims impunctate and glabrous. Scale bars = 0.5 mm.
Fig. 91. T1–T2. A in Revision of the Nearctic species of the Lasioglossum (Dialictus) gemmatum species complex (Hymenoptera: Halictidae)
Fig. 91. T1–T2. A. Lasioglossum stictaspis (Sandhouse, 1923), ♀, dull and finely, somewhat obscurely punctate. B. L. gaudiale (Sandhouse, 1924), ♀, shiny and deeply, distinctly punctate. Scale bars = 0.5 mm.
Fig. 107. T2. A. Lasioglossum coactus Cresson, 1872 in Revision of the Nearctic species of the Lasioglossum (Dialictus) gemmatum species complex (Hymenoptera: Halictidae)
Fig. 107. T2. A. Lasioglossum coactus Cresson, 1872), ♂, apical rim deeply depressed and impunctate, contrasting with very densely punctate disc. B. L. helianthi (Cockerell, 1916), ♂, apical rim flat with gradual change in punctation across premarginal line. Scale bars = 0.5 mm.
Fig. 86. T2–T3. A in Revision of the Nearctic species of the Lasioglossum (Dialictus) gemmatum species complex (Hymenoptera: Halictidae)
Fig. 86. T2–T3. A. Lasioglossum coactus (Cresson, 1872), ♀, with complete subapical band of tomentum on T3 and deep and dense punctures on disc of T2 contrasting with sparsely punctate apical rim. B. L. angelicum sp. nov., ♀, T3 without complete subapical band of tomentum and fine T2 punctures not contrasting across premarginal line. Scale bars = 0.5 mm.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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