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Data for publication: Autoadaptive motion modelling for MR-based respiratory motion estimation

Baumgartner, Christian F.; Kolbitsch, Christoph; McClelland, Jamie R.; Rueckert, Daniel; King, Andrew P.


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  <identifier identifierType="DOI">10.5281/zenodo.55345</identifier>
  <creators>
    <creator>
      <creatorName>Baumgartner, Christian F.</creatorName>
      <givenName>Christian F.</givenName>
      <familyName>Baumgartner</familyName>
      <affiliation>Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK</affiliation>
    </creator>
    <creator>
      <creatorName>Kolbitsch, Christoph</creatorName>
      <givenName>Christoph</givenName>
      <familyName>Kolbitsch</familyName>
      <affiliation>Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK</affiliation>
    </creator>
    <creator>
      <creatorName>McClelland, Jamie R.</creatorName>
      <givenName>Jamie R.</givenName>
      <familyName>McClelland</familyName>
      <affiliation>Centre for Medical Image Computing, University College London, London, UK</affiliation>
    </creator>
    <creator>
      <creatorName>Rueckert, Daniel</creatorName>
      <givenName>Daniel</givenName>
      <familyName>Rueckert</familyName>
      <affiliation>Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK</affiliation>
    </creator>
    <creator>
      <creatorName>King, Andrew P.</creatorName>
      <givenName>Andrew P.</givenName>
      <familyName>King</familyName>
      <affiliation>Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, UK</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Data for publication: Autoadaptive motion modelling for MR-based respiratory motion estimation</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2016</publicationYear>
  <subjects>
    <subject>MRI data, 2D, slice data, motion modelling, manifold alignment</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2016-06-10</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/55345</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy">10.1016/j.media.2016.06.005</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This repository contains four&amp;nbsp;T1-weighted&amp;nbsp;2D MR slice datasets&amp;nbsp;from multiple slice positions covering the entire thorax during free breathing and breath holds.&amp;nbsp;&amp;nbsp;The data was used to evaluate our novel autoadaptive respiratory motion model which we proposed in [1]. In particular, the datasets contain the following:&lt;/p&gt;

&lt;ol&gt;
	&lt;li&gt;Acquisition of all sagittal slice positions covering the thorax&amp;nbsp;and one coronal slice position acquired during a breath hold.&lt;/li&gt;
	&lt;li&gt;Results of registration between adjacent sagittal slice positions [control point displacements (cpp) and displacement fields (dfs)]&lt;/li&gt;
	&lt;li&gt;40 dynamic acquisitions of each slice position also present in the breath-hold acquired during free breathing.&amp;nbsp;&lt;/li&gt;
	&lt;li&gt;Results of registration of the dynamic acquisitions to the respective&amp;nbsp;breath-holds slices (cpp&amp;#39;s and dfs&amp;#39;s).&amp;nbsp;&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;The data is divided into 4 zip files, each containing the data of one volunteer. The folder structure for each is as follows:&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;|-- bhs (breath hold data)&lt;br /&gt;
| &amp;nbsp; |-- images (images)&lt;br /&gt;
| &amp;nbsp; | &amp;nbsp; |-- cor&lt;br /&gt;
| &amp;nbsp; | &amp;nbsp; `-- sag&lt;br /&gt;
| &amp;nbsp; `-- mfs_slpos2slpos (registration results)&lt;br /&gt;
| &amp;nbsp; &amp;nbsp; &amp;nbsp; `-- sag&lt;br /&gt;
`-- dyn (dynamic free-breathing data)&lt;br /&gt;
&amp;nbsp; &amp;nbsp; |-- images (images)&lt;br /&gt;
&amp;nbsp; &amp;nbsp; | &amp;nbsp; |-- cor&lt;br /&gt;
&amp;nbsp; &amp;nbsp; | &amp;nbsp; `-- sag&lt;br /&gt;
&amp;nbsp; &amp;nbsp; `-- mfs_tpos2tpos (registration results)&lt;br /&gt;
&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; |-- cor&lt;br /&gt;
&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; `-- sag&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;Please, see our publication [1] for details on the acquisition sequence and registration&amp;nbsp;used.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;--&lt;/p&gt;

&lt;p&gt;[1]: CF Baumgartner, C Kolbitsch, JR McClelland, D Rueckert, AP King, &lt;em&gt;Autoadaptive motion modelling for MR-based respiratory motion estimation&lt;/em&gt;, Medical Image Analysis (2016),&amp;nbsp;http://dx.doi.org/10.1016/j.media.2016.06.005&lt;/p&gt;</description>
  </descriptions>
</resource>
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