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          <given>Andrew</given>
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    <title>Dataset for &quot;Comparison of the within-reader and inter-vendor agreement of left ventricular circumferential strains and volume indices derived from cardiovascular magnetic resonance imaging&quot;</title>
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    <keywords>MRI, porcine, segmentation, strain, inter-user, inter-software</keywords>
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    <abstract>This dataset contains left ventricle endocardial contour data (and derived quantities) generated as part of a study to test the inter-user and inter-software repeatability of strain and volume measures of cardiac function. 

Seven users used two different software packages (ScanIP and OsiriX) to segment 30 short-axis MR images of a porcine heart, and repeated this twice. The same segmentation was also performed automatically using a third software, CVI42. Each instance of the data therefore contains the points that define the endocardial border for each attempt, as well as derived quantities such as circumferential strains and ;eft ventricular volume fractions

Finally, the specific data used to generate the plots, such as Bland-Altman plot, that appear in the paper are also presented.</abstract>
    <date>2020-12-15</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
    <lay_summary>This is a dataset of magnetic resonance images taken from a porcine experiment, including the analysis of the images which have enabled the calculation of various clinical indicators of cardiac function, to determine how reliable and repeatable each indicator is when calculated by different users and using different software.</lay_summary>
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        <funder_id>https://doi.org/10.13039/501100000266</funder_id>
        <grant_id>1792324</grant_id>
        <project_name>Studentship - Computational biophysical modelling for the optimisation of cardiac magnetic resonance perfusion imaging protocols</project_name>
      </item>
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        <grant_id>GW4-AF4-011</grant_id>
        <project_name>Initiator Grant (Raimondo Ascione)</project_name>
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    </funding>
    <techinfo>Full details of software used to create the data are given in the paper. To view the images a standard DICOM viewer package such as Osirix, CVI42, ScanIP etc is required. To view the csv data a text editor or spreadsheet tool such as Excel is needed.</techinfo>
    <methodurl>
      <item>https://doi.org/10.1371/journal.pone.0242908</item>
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