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Data from Study: Respiratory Motion Correction of PET using MR-Constrained PET-PET Registration

Balfour, Daniel


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{
  "description": "<p>This dataset contains the data used to arrive at the conclusions in the research article <em>Respiratory Motion Correction of PET using MR-Constrained PET-PET Registration</em>, by Balfour et al [<em>BioMedical Engineering OnLine</em> 2015, <strong>14</strong>:85].</p>\n\n<p>This study was based upon motion-affected PET images simulated from real dynamic MR image volumes, simulated and reconstructed using the Software for Tomographic Image Reconstruction (&quot;STIR&quot;, see http://stir.sourceforge.net/). This dataset includes data from MR scans of 4 healthy volunteers (male, aged 22-33).</p>\n\n<p>Three types of data are provided, which should be sufficient for repeating the findings of the study:</p>\n\n<ul>\n\t<li>Reconstructed PET image volumes, split into 6 respiratory bins (&quot;gates&quot;) for each simulation</li>\n\t<li>The dynamic 3D MR volumes used to derive the respiratory motion of each volunteer</li>\n\t<li>Text files outline which dynamics have NOT been used for PET simulation - these are the ones used to make the motion model in the study</li>\n</ul>\n\n<p>These MR volumes were registered and combined with the head-foot position of the right hemidiaphragm to form a respiratory motion model, which was subsequently used to constrain PET to PET image registration, attempting to correct for the motion in the PET images.</p>\n\n<p>For more detailed information regarding the method, please refer to the article.</p>\n\n<p>The PET data is split into several sub-categories:</p>\n\n<ul>\n\t<li>Volunteer ID (4 possibilities, anonymised)</li>\n\t<li>Lesion position (9 possibilities - see article for locations)</li>\n\t<li>Lesion diameter, in millimetres (10 or 14 mm)</li>\n\t<li>Respiratory gate number, ranging from 1 (most inhaled) to 6 (most exhaled)</li>\n</ul>\n\n<p>Note that there are two types of each simulation: with motion, and without motion. These are included in the respective zip files for each volunteer ID.</p>\n\n<p>&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "King's College London", 
      "@type": "Person", 
      "name": "Balfour, Daniel"
    }
  ], 
  "url": "https://zenodo.org/record/30516", 
  "citation": [
    {
      "@id": "https://doi.org/10.1186/s12938-015-0078-5", 
      "@type": "CreativeWork"
    }
  ], 
  "datePublished": "2015-09-04", 
  "keywords": [
    "Positron Emission Tomography", 
    "Motion Modelling"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
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  "identifier": "https://doi.org/10.5281/zenodo.30516", 
  "@id": "https://doi.org/10.5281/zenodo.30516", 
  "@type": "Dataset", 
  "name": "Data from Study: Respiratory Motion Correction of PET using MR-Constrained PET-PET Registration"
}
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